diff --git a/Gemfile.lock b/Gemfile.lock index e1302f559..f42322af1 100644 --- a/Gemfile.lock +++ b/Gemfile.lock @@ -249,7 +249,7 @@ GEM multipart-post (2.1.1) namae (1.0.1) nenv (0.3.0) - nokogiri (1.13.8) + nokogiri (1.13.10) mini_portile2 (~> 2.8.0) racc (~> 1.4) notiffany (0.1.3) @@ -263,7 +263,7 @@ GEM coderay (~> 1.1.0) method_source (~> 0.9.0) public_suffix (3.1.1) - racc (1.6.0) + racc (1.6.1) rb-fsevent (0.10.3) rb-inotify (0.10.0) ffi (~> 1.0) diff --git a/build.sh b/build.sh index 962d52462..e94daf5ed 100644 --- a/build.sh +++ b/build.sh @@ -1,4 +1,4 @@ -#!/bin/bash +#!/usr/bin/env bash user=delapuente org=qiskit-community diff --git a/content/ch-algorithms/deutsch-jozsa.ipynb b/content/ch-algorithms/deutsch-jozsa.ipynb index a5c7b23ca..2096aa1f3 100644 --- a/content/ch-algorithms/deutsch-jozsa.ipynb +++ b/content/ch-algorithms/deutsch-jozsa.ipynb @@ -207,7 +207,7 @@ "\n", "The corresponding phase oracle of this two-bit oracle is $U_f \\lvert x_1, x_0 \\rangle = (-1)^{f(x_1, x_0)}\\lvert x \\rangle$\n", "\n", - "We will now check if this oracle works as expected by taking a example state\n", + "We will now check if this oracle works as expected by taking an example state\n", "$$\\lvert \\psi_0 \\rangle = \\lvert 0 0 \\rangle_{01} \\otimes \\lvert 1 \\rangle_{2} $$\n", "\n", "
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    " ] }, "execution_count": 10, @@ -2528,690 +2598,695 @@ "scrolled": true }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/usr/local/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:12: DeprecationWarning: The QuantumCircuit.__iadd__() method is being deprecated. Use the compose() (potentially with the inplace=True argument) and tensor() methods which are more flexible w.r.t circuit register compatibility.\n", - " if sys.path[0] == '':\n", - "/usr/local/anaconda3/lib/python3.7/site-packages/qiskit/circuit/quantumcircuit.py:876: DeprecationWarning: The QuantumCircuit.extend() method is being deprecated. Use the compose() (potentially with the inplace=True argument) and tensor() methods which are more flexible w.r.t circuit register compatibility.\n", - " return self.extend(rhs)\n" - ] - }, { "data": { "image/svg+xml": [ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-04-05T09:10:37.733013\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.5.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p8fa2cd8a05)\" style=\"fill: #bdbdbd; opacity: 0.6\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p8fa2cd8a05)\" style=\"fill: #bdbdbd; opacity: 0.6\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p8fa2cd8a05)\" style=\"fill: #bdbdbd; 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    " + "
    " ] }, "execution_count": 11, @@ -3231,7 +3306,7 @@ "dj_circuit.h(n)\n", "\n", "# Add oracle\n", - "dj_circuit += balanced_oracle\n", + "dj_circuit &= balanced_oracle\n", "dj_circuit.draw()" ] }, @@ -3255,914 +3330,927 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-04-05T09:10:39.932191\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.5.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p356f829676)\" style=\"fill: #778899\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p356f829676)\" style=\"fill: #778899\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p356f829676)\" style=\"fill: #778899\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p356f829676)\" style=\"fill: #bdbdbd; 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    " + "
    " ] }, "execution_count": 12, @@ -4182,7 +4270,7 @@ "dj_circuit.h(n)\n", "\n", "# Add oracle\n", - "dj_circuit += balanced_oracle\n", + "dj_circuit &= balanced_oracle\n", "\n", "# Repeat H-gates\n", "for qubit in range(n):\n", @@ -4215,64 +4303,76 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-04-05T09:10:41.662926\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.5.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #343a3f; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -4280,479 +4380,370 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #343a3f; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p1017550019)\" style=\"fill: #648fff\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
    " + "
    " ] }, "execution_count": 13, @@ -4888,842 +4879,863 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-04-05T09:10:45.735219\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.5.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p40f72b4036)\" style=\"fill: #778899\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p40f72b4036)\" style=\"fill: #778899\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p40f72b4036)\" style=\"fill: #778899\"/>\n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p40f72b4036)\" style=\"fill: #778899\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p40f72b4036)\" style=\"fill: #005d5d; 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    " ] }, "execution_count": 16, @@ -5756,65 +5768,77 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-04-05T09:10:47.642661\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.5.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #343a3f; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -5822,479 +5846,370 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #343a3f; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", + "\" clip-path=\"url(#p40a428e1c1)\" style=\"fill: #648fff\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
    " + "
    " ] }, "execution_count": 17, @@ -6328,11 +6243,19 @@ ] }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/z_/6s4ntyps5lsb232v7f82201r0000gn/T/ipykernel_6888/2347876859.py:2: DeprecationWarning: The qiskit.IBMQ entrypoint and the qiskit-ibmq-provider package (accessible from 'qiskit.providers.ibmq`) are deprecated and will be removed in a future release. Instead you should use the qiskit-ibm-provider package which is accessible from 'qiskit_ibm_provider'. You can install it with 'pip install qiskit_ibm_provider'. Just replace 'qiskit.IBMQ' with 'qiskit_ibm_provider.IBMProvider'\n", + " IBMQ.load_account()\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "least busy backend: ibmq_mumbai\n" + "least busy backend: ibmq_quito\n" ] } ], @@ -6386,328 +6309,340 @@ "\n", "\n", - "\n", - "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " 2023-04-05T09:11:27.229557\n", + " image/svg+xml\n", + " \n", + " \n", + " Matplotlib v3.5.2, https://matplotlib.org/\n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", - " \n", + "\" style=\"fill: #ffffff\"/>\n", " \n", " \n", " \n", " \n", " \n", - " \n", + "\" style=\"stroke: #343a3f; stroke-width: 0.8\"/>\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", " \n", " \n", - 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    " ] }, "execution_count": 20, @@ -7601,14 +7415,13 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "

    Version Information

    Qiskit SoftwareVersion
    Qiskit0.27.0
    Terra0.17.4
    Aer0.8.2
    Ignis0.6.0
    Aqua0.9.2
    IBM Q Provider0.14.0
    System information
    Python3.7.7 (default, May 6 2020, 04:59:01) \n", - "[Clang 4.0.1 (tags/RELEASE_401/final)]
    OSDarwin
    CPUs8
    Memory (Gb)32.0
    Wed Jun 16 08:58:27 2021 BST
    " + "

    Version Information

    Qiskit SoftwareVersion
    qiskit-terra0.23.2
    qiskit-aer0.11.2
    qiskit-ibmq-provider0.20.1
    qiskit0.41.1
    qiskit-nature0.4.1
    qiskit-finance0.3.2
    qiskit-optimization0.4.0
    qiskit-machine-learning0.4.0
    System information
    Python version3.8.16
    Python compilerClang 14.0.0 (clang-1400.0.29.202)
    Python builddefault, Dec 7 2022 01:36:11
    OSDarwin
    CPUs8
    Memory (Gb)32.0
    Wed Apr 05 09:11:28 2023 BST
    " ], "text/plain": [ "" @@ -7640,7 +7453,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.5" + "version": "3.8.16" }, "widgets": { "application/vnd.jupyter.widget-state+json": { diff --git a/content/ch-algorithms/quantum-counting.ipynb b/content/ch-algorithms/quantum-counting.ipynb index b53ba5292..1c8b07a0b 100644 --- a/content/ch-algorithms/quantum-counting.ipynb +++ b/content/ch-algorithms/quantum-counting.ipynb @@ -249,7 +249,7 @@ "source": [ "def qft(n):\n", " \"\"\"Creates an n-qubit QFT circuit\"\"\"\n", - " circuit = QuantumCircuit(4)\n", + " circuit = QuantumCircuit(n)\n", " def swap_registers(circuit, n):\n", " for qubit in range(n//2):\n", " circuit.swap(qubit, n-qubit-1)\n", @@ -3288,7 +3288,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We can see two values stand out, having a much higher probability of measurement than the rest. These two values correspond to $e^{i\\theta}$ and $e^{-i\\theta}$, but we can’t see the number of solutions yet. We need to little more processing to get this information, so first let us get our output into something we can work with (an `int`).\n", + "We can see two values stand out, having a much higher probability of measurement than the rest. These two values correspond to $e^{i\\theta}$ and $e^{-i\\theta}$, but we can’t see the number of solutions yet. We need to do a little more processing to get this information, so first let us get our output into something we can work with (an `int`).\n", "\n", "We will get the string of the most probable result from our output data:" ] @@ -3366,7 +3366,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "You may remember that we can get the angle $\\theta/2$ can from the inner product of $|s\\rangle$ and $|s’\\rangle$:\n", + "You may remember that we can get the angle $\\theta/2$ from the inner product of $|s\\rangle$ and $|s’\\rangle$:\n", "\n", "![image3](images/quantum_counting3.svg)\n", "\n", diff --git a/content/ch-labs/Lab01_QuantumCircuits.ipynb b/content/ch-labs/Lab01_QuantumCircuits.ipynb index 52c5b30b5..98422fb94 100644 --- a/content/ch-labs/Lab01_QuantumCircuits.ipynb +++ b/content/ch-labs/Lab01_QuantumCircuits.ipynb @@ -744,8 +744,8 @@ " \"\"\"An XOR gate.\n", " \n", " Parameters:\n", - " inpt1 (str): Input 1, encoded in qubit 0.\n", - " inpt2 (str): Input 2, encoded in qubit 1.\n", + " inp1 (str): Input 1, encoded in qubit 0.\n", + " inp2 (str): Input 2, encoded in qubit 1.\n", " \n", " Returns:\n", " QuantumCircuit: Output XOR circuit.\n", @@ -822,11 +822,11 @@ " \"\"\"An AND gate.\n", " \n", " Parameters:\n", - " inpt1 (str): Input 1, encoded in qubit 0.\n", - " inpt2 (str): Input 2, encoded in qubit 1.\n", + " inp1 (str): Input 1, encoded in qubit 0.\n", + " inp2 (str): Input 2, encoded in qubit 1.\n", " \n", " Returns:\n", - " QuantumCircuit: Output XOR circuit.\n", + " QuantumCircuit: Output AND circuit.\n", " str: Output value measured from qubit 2.\n", " \"\"\"\n", " qc = QuantumCircuit(3, 1) \n", @@ -895,8 +895,8 @@ " \"\"\"An NAND gate.\n", " \n", " Parameters:\n", - " inpt1 (str): Input 1, encoded in qubit 0.\n", - " inpt2 (str): Input 2, encoded in qubit 1.\n", + " inp1 (str): Input 1, encoded in qubit 0.\n", + " inp2 (str): Input 2, encoded in qubit 1.\n", " \n", " Returns:\n", " QuantumCircuit: Output NAND circuit.\n", @@ -968,11 +968,11 @@ " \"\"\"An OR gate.\n", " \n", " Parameters:\n", - " inpt1 (str): Input 1, encoded in qubit 0.\n", - " inpt2 (str): Input 2, encoded in qubit 1.\n", + " inp1 (str): Input 1, encoded in qubit 0.\n", + " inp2 (str): Input 2, encoded in qubit 1.\n", " \n", " Returns:\n", - " QuantumCircuit: Output XOR circuit.\n", + " QuantumCircuit: Output OR circuit.\n", " str: Output value measured from qubit 2.\n", " \"\"\"\n", "\n", diff --git a/content/ch-quantum-hardware/calibrating-qubits-pulse.ipynb b/content/ch-quantum-hardware/calibrating-qubits-pulse.ipynb index 9358a3c03..0d8912c38 100644 --- a/content/ch-quantum-hardware/calibrating-qubits-pulse.ipynb +++ b/content/ch-quantum-hardware/calibrating-qubits-pulse.ipynb @@ -51,21 +51,6 @@ "We'll first get our basic dependencies set up and ready to go. Since we want to use real, noisy devices for our calibration experiments in this notebook, we need to load our IBMQ account and set the appropriate backend." ] }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "tags": [ - "uses-hardware" - ] - }, - "outputs": [], - "source": [ - "import warnings\n", - "warnings.filterwarnings('ignore')\n", - "from qiskit.tools.jupyter import *" - ] - }, { "cell_type": "code", "execution_count": 2, @@ -78,7 +63,7 @@ "source": [ "from qiskit import IBMQ\n", "IBMQ.load_account()\n", - "provider = IBMQ.get_provider(hub='ibm-q', group='open', project='main')\n", + "provider = IBMQ.get_provider(hub='ibm-q')\n", "backend = provider.get_backend('ibmq_manila')" ] }, @@ -142,7 +127,7 @@ "\n", "In the case of the T1 experiment introduced later, since there is only measurement after delay, it is sufficient to follow `acquire_alignment`. On the other hand, in an experiment where gates and delays are repeated, such as the Ramsey experiment, it is necessary to select the delay so that it is the minimum common multiple of `acquire_alignment` and` pulse_alignment`.\n", "\n", - "We can use `granurality` to determine the length of the pulse." + "We can use `granularity` to determine the length of the pulse." ] }, { @@ -156,7 +141,7 @@ "{'acquire_alignment': 16,\n", " 'granularity': 16,\n", " 'min_length': 64,\n", - " 'pulse_alignment': 1}" + " 'pulse_alignment': 16}" ] }, "execution_count": 5, @@ -252,8 +237,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Qubit 0 has an estimated frequency of 4.962283682428499 GHz.\n", - "The sweep will go from 4.942283682428499 GHz to 4.982283682428499 GHz in steps of 1.0 MHz.\n" + "Qubit 0 has an estimated frequency of 4.9622957311288625 GHz.\n", + "The sweep will go from 4.942295731128862 GHz to 4.982295731128862 GHz in steps of 1.0 MHz.\n" ] } ], @@ -308,12 +293,12 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ - "def get_closest_multiple_of(vaule, base_number):\n", - " return int(vaule + base_number/2) - (int(vaule + base_number/2) % base_number)" + "def get_closest_multiple_of(value, base_number):\n", + " return int(value + base_number/2) - (int(value + base_number/2) % base_number)" ] }, { @@ -354,7 +339,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 13, "metadata": { "tags": [ "uses-hardware" @@ -389,7 +374,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -415,17 +400,19 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "execution_count": 11, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -455,8 +442,9 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 16, "metadata": { + "IBM Job id": "638f86c4db0f0dd7139244af", "tags": [ "uses-hardware" ] @@ -480,7 +468,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 17, "metadata": { "tags": [ "uses-hardware" @@ -491,6 +479,7 @@ "name": "stdout", "output_type": "stream", "text": [ + "\r", "Job Status: job has successfully run\n" ] } @@ -509,7 +498,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 18, "metadata": { "tags": [ "uses-hardware" @@ -529,7 +518,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 19, "metadata": { "tags": [ "uses-hardware" @@ -538,14 +527,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -559,7 +548,7 @@ " # Get the results for `qubit` from this experiment\n", " sweep_values.append(res[qubit])\n", "\n", - "plt.scatter(frequencies_GHz, np.real(sweep_values), color='black') # plot real part of sweep values\n", + "plt.scatter(frequencies_GHz, np.real(sweep_values), marker='x', color='black') # plot real part of sweep values\n", "plt.xlim([min(frequencies_GHz), max(frequencies_GHz)])\n", "plt.xlabel(\"Frequency [GHz]\")\n", "plt.ylabel(\"Measured signal [a.u.]\")\n", @@ -575,7 +564,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 20, "metadata": { "tags": [ "uses-hardware" @@ -594,7 +583,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 21, "metadata": { "tags": [ "uses-hardware" @@ -611,7 +600,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 22, "metadata": { "tags": [ "uses-hardware" @@ -620,20 +609,20 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "plt.scatter(frequencies_GHz, np.real(sweep_values), color='black')\n", - "plt.plot(frequencies_GHz, y_fit, color='red')\n", + "plt.scatter(frequencies_GHz, np.real(sweep_values), marker='x', color='black')\n", + "plt.plot(frequencies_GHz, y_fit)\n", "plt.xlim([min(frequencies_GHz), max(frequencies_GHz)])\n", "\n", "plt.xlabel(\"Frequency [GHz]\")\n", @@ -643,7 +632,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 23, "metadata": { "tags": [ "uses-hardware" @@ -654,7 +643,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "We've updated our qubit frequency estimate from 4.96228 GHz to 4.96232 GHz.\n" + "We've updated our qubit frequency estimate from 4.9623 GHz to 4.96222 GHz.\n" ] } ], @@ -692,7 +681,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 24, "metadata": { "tags": [ "uses-hardware" @@ -715,7 +704,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 25, "metadata": { "tags": [ "uses-hardware" @@ -741,7 +730,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -765,17 +754,19 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "execution_count": 23, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -787,21 +778,14 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 28, "metadata": { + "IBM Job id": "63905924db0f0dd8b192495e", "tags": [ "uses-hardware" ] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Job Status: job has successfully run\n" - ] - } - ], + "outputs": [], "source": [ "num_shots_per_point = 1024\n", "\n", @@ -815,7 +799,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 29, "metadata": { "tags": [ "uses-hardware" @@ -835,7 +819,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 30, "metadata": { "tags": [ "uses-hardware" @@ -850,7 +834,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 31, "metadata": { "tags": [ "uses-hardware" @@ -859,14 +843,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -880,13 +864,13 @@ "\n", "plt.xlabel(\"Drive amp [a.u.]\")\n", "plt.ylabel(\"Measured signal [a.u.]\")\n", - "plt.scatter(drive_amps, rabi_values, color='black') # plot real part of Rabi values\n", + "plt.scatter(drive_amps, rabi_values, marker='x', color='black') # plot real part of Rabi values\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 32, "metadata": { "tags": [ "uses-hardware" @@ -895,14 +879,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -912,15 +896,15 @@ " lambda x, A, B, drive_period, phi: (A*np.cos(2*np.pi*x/drive_period - phi) + B),\n", " [2, 0, 0.2, 0])\n", "\n", - "plt.scatter(drive_amps, rabi_values, color='black')\n", - "plt.plot(drive_amps, y_fit, color='red')\n", + "plt.scatter(drive_amps, rabi_values, marker='x', color='black')\n", + "plt.plot(drive_amps, y_fit)\n", "\n", "drive_period = fit_params[2] # get period of rabi oscillation\n", "\n", - "plt.axvline(drive_period/2, color='red', linestyle='--')\n", - "plt.axvline(drive_period, color='red', linestyle='--')\n", - "plt.annotate(\"\", xy=(drive_period, 0), xytext=(drive_period/2,0), arrowprops=dict(arrowstyle=\"<->\", color='red'))\n", - "plt.annotate(\"$\\pi$\", xy=(drive_period/2-0.03, 0.1), color='red')\n", + "plt.axvline(drive_period/2, linestyle='--')\n", + "plt.axvline(drive_period, linestyle='--')\n", + "plt.annotate(\"\", xy=(drive_period, 0), xytext=(drive_period/2,0), arrowprops=dict(arrowstyle=\"<->\"))\n", + "plt.annotate(\"$\\pi$\", xy=(drive_period/2-0.03, 0.1))\n", "\n", "plt.xlabel(\"Drive amp [a.u.]\", fontsize=15)\n", "plt.ylabel(\"Measured signal [a.u.]\", fontsize=15)\n", @@ -929,7 +913,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 33, "metadata": { "tags": [ "uses-hardware" @@ -940,7 +924,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Pi Amplitude = 0.09070079187731446\n" + "Pi Amplitude = 0.09342650821167793\n" ] } ], @@ -959,7 +943,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -989,16 +973,16 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -1011,17 +995,19 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 36, "metadata": {}, "outputs": [ { "data": { - "image/png": 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lYUG7seLhknsDEyMiv21cB5wn6Xukz/0gUgDaEtNInVwvkXRRttw3adi84ynSyedepO/zhdzV8Lwfk046LwEuJ/UbOR34faRnM7SYpKNIdx/XbqxfS3ZH4Wek/hAvktrWf5d0wvOrXL7LgGdI/T7mk76fU0gnxXe0pqwsb91ISOsCvXLTd0Z6LhCSbgeIiI/lltuFdLduqyzp40pDfD+xsndDJN1D2hYeI90Z+gKpE/x92fyxpADt2IiY1ExxIyTVjVBXS+qftTHww+w9zZV0P/AjSe+RPqPvkAYtyP/+fkkaUOFuST8hBT0bAL0j4sz8CiNiltKw6HcDN0naOyLmZKN4nZs1m72LFCytSxoYoN5wwk2JiMcl3QD8LguKXicFdvOL80paApzWxn4tn1d6BtBjpP3ReFJTxJX1d9LIf1dJ+jYpgDiV9m/e1piOPgbltXS/ZGbWaRy0FImI+ZJ+SepHkXca6WTnjGz6WlJTkHZ5qnBEPJOdpJxBGmazJ+mhl7ezokMopO+s0ExZT0vaCfhfVjQ3e4KGTxlvrk6h9IyD00ntqYeQmmz9JZftVFIgcQbpbsCvSe3fT6AREbFQ0hdIJ9h3kvphNNW5fQmpXfV4UlOsqaQTv1dzeZ4jBTEHkU7a3gAuBX5YNABCL0q3Hy+lrkPyQtIJ1j9JAdvdRfkuBNYmbQ/ds/WeQQqAmxQRj2aB1ETSFeJHSHdKrijKegbpJP7K7P0dS+rTUFzeLVk/ih+QTmreAn5B+qxbq4q0rTX13czK5v+M1H/ifdLoTAdExEu5fPeRRnf6ZlbmC8D/kUZTW9bKsqDhYAN107tly0Dp38mpwC656d/m0ic28h5b6p+k9ziWNFrbw8DHc8Fir+xvS05yP5O9IAUiTwEHR8T1RXkuIG1vs0i/vV6kvjVAerCrpB1J/fV+Rdo+Z5A+4wYi4nVJHyMFLtdK2j8izpT0GmmY4m+Qfg/P0HAbbYljSCP//YrU3+w3pEC/eDjeAm1vCXA4KVg7gxSkHRbt8BDWbH+4P+n3fjHpe/wp6cLSygwD31IdegzKa8V+ycys0yii4puKm7UbSX8ElkXEseWui61eJB1LehbUurESD8i0yiLpamBwROxa7rqYma3KfKfFVjfbk+7GmHW2HYBzHbCYmZm1noMWW61EhJ8xYGUREV8odx2sYxU9X6pYFDVVNTOzVnDzMDMzs3YgqakD6p1uQmZm1narbdAyaPDgGDO6+CHCZu3nzruK++snu3x0506uiZl1hvnzGwyEtlxVVRU9evi5jGa2anr44YffiYghHbmO1TZo2XLLLaOxk0ozMzMzM2uZfn37PBgRW3fkOvxwSTMzMzMzq2gOWszMzMzMrKI5aDEzMzMzs4rmoMXMzMzMzCqagxYzMzMzM6toDlrMzMzMzKyiOWgxMzMzM7OK5qDFzMzMzMwqmoMWMzMzMzOraA5azMzMzMysojloMTMzMzOziuagxczMzMzMKpqDFjMzMzMzq2gOWszMzMzMrKI5aDEzMzMzs4rmoMXMzMzMzCqagxYzMzMzM6toXSJokTRRUkia0cj8Gdn8ibm0DSXdLmm+pNcknSap0GmVNjMzMzOzdtElgpbMQmAtSVvnEyVtA4zN5tel1QK3AQF8EjgN+AZwamdV1szMzMzM2kdXClo+AKYBhxelH56lf5BL+xLQEzgwIm6NiPNJAcvXJfXrjMqamZmZmVn76EpBC8DlwKGSBJD9PTRLz/s4MDUi3itatiewS2dU1MzMzMzM2kdXC1quBYYBO2XTOwNDsvS89YGn8gkR8RIwP5tn1ikuu/RSttpyi2bTzMzMzKxxXSpoiYg5wBRWNBE7HJgSEXOLstYCc0oUMTubZ9Yppky5mT0nTGg2zczMzMwa16WClszlwMGSugMH07BpmFlFWLx4MdOnT2evvfZuMs3MzMzMmlZd7gq0wQ3AH4CfAL2BG0vkmQ30L5Fem83j4Ycfpl/fPh1VxxbpRTVbdRtKdZeMHa05X736dwDstNNOy9Puuece5r8/j3MO+hK/Sl2zbBUzc+n7vLC0+OavmZmZrYwuF7RExAeSbgK+BlwVER+UyPYURX1XJI0CemXz2GKLLbjzrrs7urrNWvT2e7zyt7tZMHt2uati7eyyqVPYbbfdqKmpWZ42deoUdl5/c3526HFlrJl1hEKhmhE7b0n/bdYtd1XMzMw6VWfcCOiql/h/R7rDcn4j828G9pLUN5d2GLAAuLOD69Yq3Yb0Y8whu9NvxIhyV8Xa2dQpUxs0A5s6ZSo7rLNxmWpkHaWme3dG77WjAxYzM7MO0iWDloiYHhEHRMT0RrKcD3wIXCtpD0lfBCYC5xQNg1wRCv17suZ+O1A7cmS5q2Lt5OVZb/LCC88zYa+9lqc9++yzvPDC8w5aVjHdevZi1G7b0WujUeWuipmZ2SqrSwYtzYmI2cDHgALpjsypwC+BH5ezXk2p6t+TYXtszcCRPvFZFfxjxmNsttlmDBs2bHna1KlT2WyzzRjUp1R3K+uKuvfqxagdtqLHxr7gYGZm1pG6RJ+WiJhIulPSVJ7BRdNPALt3XK3aX2FIH4ZsvwnL7lnCnNdfL3d1bCXcO+NRJhx2QL20W6ZOqXfnxbq2mh49WGOzTei+yUjkQRXMzMw61Cp5p6UrK4ypZehmG9B38ODmM1tFmr9oIY+89CwTJqwIUObNm8e9995bL826rkJNDSM22JAem49GNYVyV8esy7v//vuZsOce5a6GmVWwZoMWSfOKXkslnddI3o0lTZX0jqRoJM/hkp6U9IGk5yTt3MS6R0j6vaTXsnU/L2mSpPWz+WMlhaTqouUmSTqjufdWiSRRvd5Qhq23Lj369m1+Aas49z3/JL179GTrrbdennbHtGn069evXpp1TVIVw9dZl14brUlVn+7lro5Zxfj4x/fmI9tuww7bb8dOO+3IUUcdyVVXXsmyZcvKXTUzWwU02zwsIpaPYSapD/AGcFUj2RcDVwK/Ba4vnilpT+DnpJG87gMaHTJL0iDg3uy1M/A86dkrnwL2JBu6eFWkbtXUrDeM4Qs+5JXHHmXJokXlrtJq7yvXnc/sBfP4zYHH07dHr+Xp35s8iRdnv8WvDjiOIVlflXtnPMb24zeq12Ro6tSp7LnnhBY1I5r34QJ+/68pPPraTPr06Mlhm3+UHdfasP3flLXJ4LFj6D12OFXD+5W7KmYV59z/O4/tttuO999/nwcffIAzf/5zHn30UU47/fRyV83MurjWNg87CHgLKPmAk4h4OiIuAh5vZPlTgdMi4l8RsSwiXo2IVxvJ+zXgPeDIiHgukjkRcUlElLzTU4qkXxfdKVoiaWJLly+XqkG96TZyIMPHr+P28hViaO/+3DvzyeXTL81+m0VLFjfId++MR9l+fP0RwqZOncKEvSa0aD2T7ruVQlUVvz34BE7YcV8uue8WXpnzzspV3tpFvyFD6b/GGlSPH+LfpVkT+vbty6677sbPzzyLG2+8gWdnzGDRokWc84uz2XuvCey+266ccfrpLFy4sOTyF190Efvu8wl22H47DvzUAUy7/XYAFi9ezEd33okZM55ZnvfdWbPY7iPb8u6773bGWzOzMmlt0HI0cGlElGz61RRJBWBrYIikZyW9kgUUPRtZZA/guohYqfvKEXFiRPTJ7hjtBMwG/rYyZXaW6nGD6TmolkGjRpe7KgbsOG4j7nl+RTx+9/OPsdO4hsMX3/T1M9ljoxXNwH74wx9wzLHHcvttt7H9dh9h4tQ/M2fBPC574Ha+cOW5fPOGPzDz3TcBWLhkEfe9/AyHbLYzPWq6sd7QkWw5cjz3vNDYdQDrLN179WLwmDFUjxuEuneJMUzMym6TTTZh2LBhPPTwQ5x77q948cUXueLKq7jxpsm89dabXHjBBSWXGzlqFBdfMol7/nEvxx33Jb73ve/y9ttvU1NTw157783kmyYvz3vzlJvZdtttGThwYGe9LTMrgxYHLZLGALsAf2zjuoYBNcDBpOZemwNbAD9oJP9gUlO0uvXvL2mOpPcl3VKU951s3hxJc4DPlKj/EFKTtZMi4uE2vodOpZoChbUHM2DECHr19zC55bbO4DVYsPhDXp07i2XLlvHPF59scbOtW2+5hRNOPInpd95FTVWBiVP+zNiBw7jg4JPYdvR6/OnBaQC88d5sCqpiRL8VB98xtUN9p6XMqqqqGLb2eKoH96VqmPuambXGkCFDmDt3LtdcfTXf/NYp9O/fn969e/O5z3+BKVNuLrnMhAkTGDp0KFVVVey1996MHjOGxx57DID999ufKVNupu766eSbbmKffffrtPdjZuXRmsuFRwL3RMQLbVzXguzveRHxOoCkc0hBy/dL5J9Frs9LRNwADJD0eeCIoryDI2JJ3YSkSfmZkmqAq4G/RMTlbax/WRSG9GHZG70YtvZ4Xvrvf1laojmSdZ4dx23E3c8/xgbDRrFmv0EM7NWyE9jddt+dDTdMAc7Wo9bhtmceZufsLs12Y9bn1qcfAtKdlp419Tt396zpzsLF7tdUToNGj6Fb794Uxg12szCzVnrrrbdYunQpCxcu5NOfPnzFjAiWLl1acpkbb7yByy67jNdeew2ABfPnM2f2bAA22XRTevTowQP338/gIUN46eWX2XXXXTv6bZhZmbUmaDkK+N+2rigiZkt6Bcg3LWuqmdntwAGSTl3ZJmLAeaT+MY3d1alo1eMHs2zOAoaOG8frzzxd7uqs1nZaayNOv/WvvD1vbsmmYY0ZNGjQ8v+7Farp36P3iunqahYuSUFJj+puLFj8Yb1lFyz+kB413Vay5tZWvfoPoP+wYRRGDqCqt78Hs9Z47LHHeOutt9htt92ZdMklXHPNtfUeulvKa6+9xmmnnsqFF/6eTTfbjEKhwKGHHkLkThn2239/Jk+ezKDBg9hzjz3o3t0j+Zmt6lrUPEzSDsCaND5qWF0+SeoBdMume0jK70kuAU6SNFRSLamz/U2NFHcOUAtcJmntrOy+pGZlLSbpOFKzts+2Q/BTFurZjcLIAfSuraXv4CHlrs5qbUif/gzt3Z//vPY824xep93LH96vlqWxjDfeW9Gh9KXZbzNygJ/bUw6F6hqGjhuHuldTGFVb7uqYdRnz5s3jrjvv5DvfPoV99tmH9dZbj08deCBnn30W786aBcCbb77Jvf/4R4NlFyxYgCRqB6bf3PXXX89zzz5bL88+++zLtGm38/fJk9l3PzcNM1sdtPROy9HAtRHxfj5R0mjgCWDDiHgJGAPkm48tAF4ExmbTp5P6qjwDLCQNj/yTUiuMiHckbZctcw/QF3gz+//LLaw3wKeBccBruWYdP91iiy1aUUT5FUbVsvSN9xg8ZgwL3pvrYZDL6Avb780HixbSo7obS9v5+QM9qruxzah1ufqRe/j89nvz4rtv8eArM5i4V3GLSOsMg8eMprpbNwpjBqJqP4vXrDlfOfkkCoUCVVVVjBs3jiOOPIpDDjkEgK9+9WtccMH5HHnkEcyZM4ehQ4dyyCGHssOOO9YrY+211+bIo47iqCOPpKqqin333Y/NN9+8Xp7hw4ezwQYb8NLLL7Plllt11tszszJqUdASEcc1kv4S0Cc3PRNotMF3RCwGjs9eLVnva8Dnmphfcn0RcUzu/11LLbvllluWDJYqlaqrqB47EGa8zZC1xvH606vsY2oq3rC+HXvF/dht9+TCf97M8Vf9hj7de3DsthN8p6UMeg9IdzbVp7s735u1wM03T2lyfvfu3Tn55K9w8slfaTBvm2224ZZbb1s+fdJJJ3PSSSc3Wd7w4SPYZNNN3c/MbDWhNoxevErYcsst4867Sj5upmJFBIsffJmYv4g3n3uO9995u9xVsiZs9K3Sd0ceP+tPnVwTa61CoZpRm25Kdbfu1GwygqraXs0vZGad5tVXX+Wwww7lisuvYM2RI8tdHbPVXr++fR6MiK2bz9l2bu/QhUiieq3UoXvw6NRsxcza36Ds91VV29MBi1mF+c2vf83BBx3I0Ucf7YDFbDXiJ6R1MRrYi6r+PWEuDB4zljdyTwW28jnlxot454P36qVVXXMeP/jhj9hnn33KVCtri179+9Nv6FBAFNYa1Gx+M+tcJ5x4IieceGK5q2FmncxBSxcjicLYgSx75FX6DBxI30GDeX+WHzxYbmfu17DrVWPNw6xyVRUKDFlrXPp/aB+q+ngYVTMzs0rg5mFdUFX/nlQNSs/5GDRmNIWamjLXyGzVMGjUaGq6dwcpDXxhZmZmFcFBSxdVGDsIENU13Rg8eky5q2PW5fXs24/+2UPvCmv0Rz18McDMzKxSOGjpoqp6d6NqWBptuu/gwfQZ6Lb3Zm1VVSgwdO2100ShisKoAWWtj5mZmdXnoKULqx5dC1XpKxwydqxHEzNro8Gjx6RmYWR3Wbq5u5+ZmVklcdDShalnNwrD00PvCjU1DBm7lh+yZdZKvWtr6TtkSJqoLlAYOaCs9TEzM7OGHLR0cYVRtVBIX2Pv2lr6Dxte5hqZdR3V3bozdK1xy4P9wqgBqKZQ5lqZmZlZMQctXZy6V1NYo//y6UGjRtGjT58y1sisa5CqGLb22stH31O3agprDihvpczMzKwkBy2rgMKoWsiuDquqimHj1/EwyGbNGDRqFD379Vs+XVhrEKpy80ozM7NK5KBlFaDqKqrHrHimRE337oxYZ12qqvz1mpXSb+gwBowYsXxavbtTNdR3KM3MzCqVz2pXEVXD+6FeK0YP69G3L0PXHu+O+WZFetfWMmRM/WcbVY8b5N+KmZlZBXPQsopQlaheq/6zWvoMHMiw8esg+Ws2gxSwDB+/Dsrdhawa2Juq2l5lrJWZmZk1x2ezq5CqQb2pGti7XlqfgQNZY/31KVS7j4ut3gYMH9EgYEGiem0/mNXMzKzSOWhZxRTGDYKiZi49+/Vj1Kab0HfQ4DLVyqx8anr0YMS66zF4zJj6AQtQWLM/6umHspqZmVU6P/Z5FVPVqxuFMQNZOnNWvfTqmm4MGz+e2jXXZN67s1g0fz7Lli4tUy1Xb736928+k60kUdOjOz379ad3bW3J/irqUUMhN4CFmZmZVS4HLaugwsgBLHt7HvHBhw3mdevZk4FrjixDrazOGutvUO4qGKJ6/GBU8M1mMzOzrsBH7FWQqkT1ukMBj4ZkVkphRN8G/b/MzMyscjloWUVV9e1OYS03fTErpl7dKIxz/y4zM7OuxEHLKqx6VC1Vg/3APLPlqgtUbzjczcLMzMy6GB+5V3HV6w1FfXuUuxpm5SdRs8Ewqnp5tDAzM7OuxkHLKk6FKmo2HuHAxVZvVVXUbDjcD5E0MzProhy0rAZUU6Bm0zWoGta33FUx63TqUUPNZmtQNcgd783MzLoqD3m8mlChipr1hrFseD+WvjaXmLuQWLqs3NVaPbk/RceTUM8aCkP7UDWiP6rySHpmZmZdmYOW1UxV/55U9e9Z7mqs1rrvOK7cVTAzMzPrUnzJ18zMzMzMKpqDFjMzMzMzq2gOWszMzMzMrKI5aDEzMzMzs4rmoMXMzMzMzCqagxYzMzMzM6toDlrMzMzMzKyiOWgxMzMzM7OK5qDFzMzMzMwqmoMWMzMzMzOraA5azMzMzMysojloMTMzMzOziuagxczMzMzMKpqDFjMzMzMzq2gOWszMzMzMrKI5aDEzMzMzs4rmoMXMzMzMzCqagxYzMzMzM6toDlrMzMzMzKyiOWgxMzMzM7OKpogodx3KQtLbwItlrsZg4J0y18G6Bm8r1hLeTqylvK1YS3g7sZZaLyL6duQKqjuy8EoWEUPKXQdJD0TE1uWuh1U+byvWEt5OrKW8rVhLeDuxlpL0QEevw83DzMzMzMysojloMTMzMzOziuagpbwuLHcFrMvwtmIt4e3EWsrbirWEtxNrqQ7fVlbbjvhmZmZmZtY1+E6LmZmZmZlVNActnUzShpJulzRf0muSTpNUKHe9rONJWlPSPEkhqU8ufYSkSyS9ms1/WNJnSyx/uKSHsjyvSrpU0hpFeY6XNFnSrGw9u3b8O7OVJemY7Psqfn0pl0eSvifpZUkLJN0lafMSZbVoHyNpE0k3SZor6X1J90naqoPfqq2kFm4rze4HJB0s6d4sz0JJT0v6gaRuRfm8T+mCmttOsuPOWZIeyY4pL0v6Y4ljyq6NlPO/JdY5RtJfJb2b7X8ekbR3Z71na5sWbCvdJF0p6fns2PO2pJtLHS86+jxltR3yuBwk1QK3AU8AnwTWBn5BCh5/UMaqWec4C5gH9K5LkFQF3AAMAk4B3gAOBv4kaUFEXJvl2x/4K/Ab4FvACOAMYLKkrSJiWVbkUUAAU4FPd8absna1O7AgN/187v/vAD8kff9PAV8HbpO0cUS8AS3fx2TBzt3A34DDsuRtgJ7t/o6sozS1rbRkPzAImEbaL80BtgUmAsOBE1tZllWuxraTrYBPAX8A/g0MI33/92b7lHlF5XyW+tvYq/mZkkYB/wQeAY4FPgA2x/uUrqSxbaVA2gf8DHgO6Ad8DZgmaYuIeB466TwlIvzqpBfwXWA20C+XdgowP5/m16r3Aj4KvAt8M/ux9snS18+m9yvK/xBwRW76cuDBojz7Z8tukEuryv5unM3btdzv3a8WbR/H5LeLEvN7AHOBH+XSegNvA2fk0lq0jwH+Bfyl3O/br/bfVrI8bdoPAD8hBTBa2bL8quztBBgAVBelrZstc3QubdcsbeNm1nc56UJIVbnfu1/tu600skwf4EPg60XbQIeep7h5WOf6ODA1It7LpV1OuhKxS3mqZB0ta5pzHnAaDZ8sXJP9nVuUPgdQUb5SecjnixVXMmzVsgPp6taVdQkR8QFwI2m/UqfZfYykDYGPkLZJWwWtxH5gFlCveZj3KaumiJgTEUuK0p4hXeBYo/RSpUnqDxwI/Nbby2rjA2Ah9fcXHX6e4qClc61PataxXES8RNpJrF+WGlln+BLQnXTLtNhjpFvzp0laR1I/SccAOwLn5/JdDOws6agsz7qk267TIuKJjq2+daLnJC3J+hccl0tfH1gKzCjK/yT19x0t2cd8JPtbm7U5XyLpOUmfa7d3YZ2hsW2lVSQVJPWStBNwMvC7yC6D2iqhxduJpE2BXsAzJWZPk7RU0sys71O+n9yWpBPWkPQPSYslvSLpu5JUoiyrTE1uK0qqJQ0HziQdk/6ay9Lh5ynu09K5alkRdebNzubZKkbSIOB04IiIWFy8/46IkPRxUt+CugPFYuDYiJiWyzc5C2YuAv6YJd9LuvVqXd/rpP4q95HaDx8OnC+pV0T8krR/mBcRS4uWmw30ktQtIhbRsn3M8OzvpaQDz/2kflR/kPR6RPy9/d6WdYDmtpXW+oB0UQXSNvGtdqmllVurtpOsf+W5pAsjN+RmzQX+l9T0axGwL3AqMAT4Spanbp9yAfA7Uv+53UgnrHOB37bnG7N219Jt5dukfi2QmiZ/IiJerJvZGecpDlrMOtZPgH81diKYHSguJXWKPQx4C/gEcJGkWRExJcu3G+nOy7nAzazoNHmdpD1KnMxaFxIRU0mdEuvcLKkH8ANJ57bz6uoi5z9ExJnZ/3dI2oDUJ8ZBSwVrbltpQ9OLHUhX17cFfgT8Gji+XSprZdOG7eRnwPbALhGxOFfOw8DDuXy3SfoQ+Lqk0yPiHVbsU26OiO9k/98haSRpn+KgpYK1YluZRBroZQRpH3GTpI/W3UXpjPMUNw/rXLOB/iXSa7N5tgqRtBHwP6SmXwMkDSCdHAD0l9STdNVqX+CAiLgyIqZHxCnAdaSr4HV+AdwQEd/O8lwBHEDqJPnJTnlD1tmuBgYCY0n7hz5qOHRxLTA/u8sCLdvH1P29oyjPNGDDlayzlUd+W2mViHgoIu6JiHNIzcO+LGntdq6fVYaS24mk40l32I6OiH+3sJxqYNNsuql9ykhJ/dpaYSubBttKRLwREQ9ExI3AfqQ+cN/JLdPh5ykOWjrXUxT1XcmGCexFUTt0WyWsQ2rn+0/STn02K/q1vELqCL0+6aSzuK/Cw6ThauusD/wnnyEiniYNT+gTjFVT5P4+RbptP74oT3EflpbsY56sm1VUlgB3ou2aouhvWz2U/V1rJcuxytRgO5F0EOlYdEp2ktmWcprap4D3K11Rk/uUbBCHR4FxueQOP09x0NK5bgb2ktQ3l3YY6Qu9szxVsg50D6ldb/7182zeJ0jPR3iR1CdhvaJltwJm5qZfJHV2XC5rztOzKJ+tOg4mjTb3Iqld8HvAIXUzJfUiXe26ObdMS/Yx95IC6N2L1vcx0jMWrOvJbysrY8fs7wsrWY5VpnrbSfZQvz8D50XE2a0sZwnwX4CImAk8Tul9ynPR8JkvVvma3Kdkzce2pP6+osPPU9ynpXOdT7r9fq2kn5Mi1InAOUVDlNoqIGvrOz2fJmls9u/dETFP0mvAS8D1kk4jdW7bBzgUOCG36PnAL7P8dW1Ff0TaESzvgyBpa9Lt3FFZ0i6SBgMzI+KBdnx71o4kXUPqBPlf0h2Vw7LXyVl74oVKT6D+oaTZrHi4ZBX1hy5udh8TEYuybe1MSXNIHfEPIj1LyEOvV7gWbCst2g9ImkJqn/44aRSgHYFvkJ4P9Vxufd6ndEHNbSfZyeT1pH3JFZK2yy3+dt02IOl3pOPS/aSO+J8gPXz0VxExK7fMD4FrJJ0F3EJqEnQk6UGCVsFasK18mjSc/hTgNVb0aRkBnJMrquPPU1r6QBe/2u0hPhuS2nkuII3YcDpQKHe9/Oq07/8Yih7iRGryc1W2M5hHutp9HPUf8Cbgy9lO5QPS04ivAMYVlT8pK7/4Nanc792vJreLnwJPk4YmXgA8CBxZlEfA90lNCxeQRvPZokRZLdrHkIKeF0gnIo8CB5b7c/Cr3baVZvcD2XbxWLbPmUNqGnYSUNPasvyqvFdz20nuWNTcdnJydtx5n/QwwceBr+aPT7m8R5Caii0CngW+VO7Pwa922Va2ACYDb2TbwMzs/GOjonI6/DxFWQFmZmZmZmYVyX1azMzMzMysojloMTMzMzOziuagxczMzMzMKpqDFjMzMzMzq2gOWszMzMzMrKI5aDEzMzMzs4rmoMXMzMzMzCqagxYzM6tHUrTgtaukmZLOroD6biVptqR+7VzuTZJ+2J5lmplZ2/jhkmZmVo+k7XKTPYFpwBmkpyLXeQJYG5gVES91YvUakHQz8J+I+G47l7szcAOwVkTMac+yzcysdRy0mJlZoyT1Ad4Hjo2ISWWuTgOS1gGeAdaNiBkdUP6zwLkRcV57l21mZi3n5mFmZtYmxc3DJE2S9ICkfSQ9IWm+pMmSBkoaL+kOSR9keTYtKqtK0nckPSvpQ0nPSDq6BdU4GvhvPmDJmq7VNWG7StI8Sc9LOr5onRtJmiLp3axeT0o6oaj8a4CjWv/pmJlZe3LQYmZm7Wk0cBrwA+CLwA7AhcDl2etgoBq4XJJyy52XLXMhsA9wHXCxpH2bWd/HgHsbmfd74BHgU8B04DeSts3NvxFYChwB7J/VoW9RGfcCW0mqbaYeZmbWgarLXQEzM1ulDAS2j4jnALI7Kt8Cjo6IS7M0kfrHrA88KWk88GVSE7Q/ZuXcJmkE8GPgplIrysrZAvhTI3X5a0SckeWdDuwHHAjcJ2kwsBbwyYh4NMt/e4kyHgEEbA3c2qJPwMzM2p3vtJiZWXuaWRewZJ7N/k4rkbZm9vdjwDLgOknVdS9SELG5pEIj66oFugPvNDL/lrp/ImIxMAMYmSW9C7wMnC/pMElDGymjruzhjcw3M7NO4KDFzMza05yi6UUl0uvSemR/BwMFYC6wOPeaRGoRMKKRddUt/2Er6tIDICKWAROAN4CLgTck3S1pi6Jl6srugZmZlY2bh5mZWbm9CywBdiTdcSn2VhPLAQxoy0oj4ingIEk1wM7Az4HJkkZmQU2+7HdLFGFmZp3EQYuZmZXbNNKdlv4R0eJ+IxGxUNJLpL4pbZY1HZsm6RzgL6RApS5IGZv9fWZl1mFmZivHQYuZmZVVRDwt6XzSiGJnAg+QmmNtRHr+yuebWPwfwFatXWc2QMDZwBXA86T+Md8GHomI/F2VrUnN1h5v7TrMzKz9OGgxM7NKcALpbsYXSEMmvwc8AVzUzHLXApdI6hkRC1qxvjeAN4HvA2uQ+r/cQQpc8vYGrss1FzMzszJQRJS7DmZmZm0iqRvwCnBCRFzVzmX3JwU2e0TEPe1ZtpmZtY5HDzMzsy4rIhYBZwFf6YDivwz8ywGLmVn5uXmYmZl1db8GeknqHxFz27HcucDJ7ViemZm1kZuHmZmZmZlZRXPzMDMzMzMzq2gOWszMzMzMrKI5aDEzMzMzs4rmoMXMzMzMzCqagxYzMzMzM6to/w9eHKPhVePiZQAAAABJRU5ErkJggg==\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "execution_count": 32, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -1033,7 +1019,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -1046,7 +1032,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -1059,17 +1045,19 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 39, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "execution_count": 35, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -1088,8 +1076,9 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 40, "metadata": { + "IBM Job id": "6391dec8ec40c24657f61938", "tags": [ "uses-hardware" ] @@ -1099,12 +1088,13 @@ "name": "stdout", "output_type": "stream", "text": [ + "\r", "Job Status: job has successfully run\n" ] } ], "source": [ - "# Execution settings\n", + "# # Execution settings\n", "num_shots = 1024\n", "\n", "job = backend.run([qc_gnd, qc_exc], \n", @@ -1117,7 +1107,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 41, "metadata": { "tags": [ "uses-hardware" @@ -1137,7 +1127,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 42, "metadata": { "tags": [ "uses-hardware" @@ -1146,14 +1136,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1199,7 +1189,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 43, "metadata": {}, "outputs": [], "source": [ @@ -1209,7 +1199,7 @@ " \"\"\"Classify the given state as |0> or |1>.\"\"\"\n", " def distance(a, b):\n", " return math.sqrt((np.real(a) - np.real(b))**2 + (np.imag(a) - np.imag(b))**2)\n", - " return int(distance(point, mean_exc) < distance(point, mean_gnd))\n" + " return int(distance(point, mean_exc) < distance(point, mean_gnd))" ] }, { @@ -1224,7 +1214,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 44, "metadata": { "tags": [ "uses-hardware" @@ -1242,7 +1232,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ @@ -1266,17 +1256,19 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 46, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "execution_count": 43, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -1289,8 +1281,9 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 47, "metadata": { + "IBM Job id": "6391fa2594981919a8aa5ae3", "tags": [ "uses-hardware" ] @@ -1300,6 +1293,7 @@ "name": "stdout", "output_type": "stream", "text": [ + "\r", "Job Status: job has successfully run\n" ] } @@ -1318,7 +1312,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 48, "metadata": { "tags": [ "uses-hardware" @@ -1331,19 +1325,19 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 49, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1354,7 +1348,7 @@ " iq_data = t1_results.get_memory(i)[:,qubit] * scale_factor\n", " t1_values.append(sum(map(classify, iq_data)) / num_shots)\n", "\n", - "plt.scatter(delay_times_sec/us, t1_values, color='black') \n", + "plt.scatter(delay_times_sec/us, t1_values, marker='x', color='black') \n", "plt.title(\"$T_1$ Experiment\", fontsize=15)\n", "plt.xlabel('Delay before measurement [$\\mu$s]', fontsize=15)\n", "plt.ylabel('Signal [a.u.]', fontsize=15)\n", @@ -1370,7 +1364,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 50, "metadata": { "tags": [ "uses-hardware" @@ -1379,14 +1373,14 @@ "outputs": [ { "data": { - "image/png": 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LNhvrN8Cfy8rgP/+BqVPTHpMxxmSTmMlBVRtVdW0ihXnvael8WKlVW1tLaenGbeelpaUM+etf4ac/dV1bFy/OTHDGGJMFuuS9k+rqaurq6ggEAogIgUCAuro6qk880Y2Y/uEHmDABVDMdqjHGZIRoJ78AReR5r5yfJyekxA0bNkxnz56dvAKvuw4uuAAeeACOOy555RpjTBYRkTmqOizaa8moOUiSysm44NiHwgsu4O3iYtaMHw9ffZXpsIwxJu06/aWuqj9X1f2TEUwmhY59aAWq165FV66k6bDD7PaSMabLyYu/+JMhfOzDx8Afgcq33oJ//CNjcRljTCb4anMQkZHtHaOqTyUlog5IRptDQUEB4deiG/AasGefPvDhh9C3b6fOYYwx2SRem4PfNaSfABTXvhAq9Nu0m89gDgFu9I6/U1X/HOWYY4BJXvnvqmrK57WorKyksbFxo32tQM1WW/HcsmVwxhmuBiHhl8AYY/KP39tK/YFtvJ/BbTfgEuC/wD5+CvFGUd8C/BLYCThORHYKO2YAcDGwj6ruDEz0GWOnxBr7MO7aa2HyZPjnP93SosYY0wX4qjmoamOU3Y3AXBFpxSWJw30UtSewQFU/AxCR6cBo4KOQY04FblHVb71zf+0nxs6qrq4GXNtDU1MTlZWV1NbWuv2trfDUU25Z0Z/+FPr3T0dIxhiTMclokH4HOMDnsf2AL0KeL/T2hdoe2F5EXhWRN7zbUGlRXV1NQ0MDbW1tNDQ0rE8YdOsG993nbimdeKKtO22MyXudSg4iUgyMA5I510QhMADYDzgOuENENoty7vEiMltEZn/zzTdJPH0MgQDccgu8+ipcc03qz2eMMRnk67aSiLzFxo3PAMVAFdALOMnn+RYBW4c8r/D2hVoIzPLmaPpcRD7BJYu3Qg9S1TqgDlxvJZ/n75zqanjiCfjjH+Hgg2FY1EZ+Y4zJeX5rDh9G2V4HrgV2UdX7fJbzFjBARPp7tY5fA4+HHfMYrtaAiPTB3Wb6zGf5qSUCt90GW27pEsWqVZmOyBhjUsJvg/S4ZJxMVdeJyJnATFxX1rtV9UMRmQzMVtXHvdcOFpGPcL1JL1DVZck4f1Jsvrlbc/rnP4dzz4W//z3TERljTNJ1euK9bJD0iff8+MMfYMoUmD4djj02vec2xpgkSOnEeyJyqYhc1tlycs6VV8KIEXDqqbBgQaajMcaYpEpGV9ZJ3paXgjO1FhQUUFVVRX19vXuhqMjVGgoLXc1hzZrMBmqMMUmUjFlZC1XV19QZuSZ0plZVpbGxkfHjx29IEJWVbknRt9926z8YY0yesFlZ4wifqRWgubmZmpqaDTsOPxwmToS//Q1mzEhvgMYYkyIJN0iLSAFQEr5fVZujHJ4WqWqQjjZTK4CI0NbWtmHH2rWwzz6u7eGdd6CqKumxGGNMsnW6QVqcP4jIAqAFWBFlyzuVlZX+9hcXw0MPuUWBjjrKrUFtjDE5zO9tpbOAi4C7cNN21wKTgU+ABmB8KoLLtFgztdbW1kYevM02MG2aa3844wxbPc4Yk9P8JodTcQujTfGeP6aqfwJ2xi2aNiAFsWVcdXU1dXV1BAIBRIRAIEBdXR1A9B5Mhx4Kl1/uGqltcJwxJoclsp7DXFVtxd1W2gxAVduAW4GxKYkuC4TP1ArE78H0xz/CyJFw1lnw+uuZC9wYYzrBb3JYBvT0HjcBu4a8tjnQI5lBZbN2ezAVFLjbS1tvDUcfDUuWZCBKY4zpHL/J4VVgD+/xA8AkEakVkT8C1wMvpCK4bNTU1NT+/s03d91av/3WDZBraUlTdMYYkxx+k8Mk4D/e46uAu3HrOJwNvAhMSHZg2cp3D6ZddoE774SXX4azz05DZMYYkzy+koOqzlfVf3mP16jq2araT1XLVPXYdC3lmQ0S6sF0/PFw4YVumu9bbklThMYY03k2QjpBsXowrV9SNNxVV7lR1GefDc8+m95gjTGmg2KOkBaRR4ELVdXXlKMiIsA/gfNU9fPkhdi+jEzZnYgVK+AnP4HGRnjjDdhxx0xHZIwxHR4hfQSuJ5JfBcDoBN/TNfTqBY8/Dt27u7EQy7Jn7SJjjImmvZXgZorIurREku8CAXjsMdhvP9fFdeZMN+2GMcZkoXjJ4U8dLPPLDr4v/40YAXfdBSeeCKec4pYbFcl0VMYYE0lVc37bfffdNdOmTZumgUBARUQDgYBOmzYt9sFXXKEKqpdckpryjTHGB2C2xvhezfgXezK2TCeHadOmaWlpqQLrt9LS0thf4G1tqqee6i7/bbclv3xjjPEhXnJIeD2HbJTp3kpVVVU0NjZG7C8vL6dnz540NTVRWVlJbW3thi6v69bBEUfA00+70dSHH55w+YFAYP18T8YYk6hOr+dg4os1pcayZcs2mqDvpJNOok+fPm421+22Y/qYMbDbbvDrX8OsWQmXH2u/McZ0liWHJIg1pUa4lpYWli1btj5Z/Pass3jkpJNgq61g1CiYNy+h8v2e1xhjEmXJIQmiTanhR3NzM+dPmeK6tRYWwkEHQZTbRAlN2WGMMUkQMzmISGkiWzqDzjbRptQoLy/39d6mpibYbjs3tcaqVS5BhE3znfCUHcYY00nxps9ow/WM8UVVuyUrqERlukE6mvr6esaPHx+x9kO4jRqVX38dDjzQJYuXXnJTfxtjTIrEa5CONwjuZBJIDmZjwb/qa2pqaGpqoqysjBUrVrB27dr1x0TcGhoxwo2iPvRQ1wbx3HOwySZpjtwYY+LUHHJJNtYcoqmvr1+fLIJdW4GIfdWlpW6KjQMOcHMy9egyC+0ZY9LIurJmCd/rUTc3w9Sp8MILbizE6tWZDNsY0wW1N/HeeiJyLHAqsD1QEv66qvZNYlxdQrz1qKsbGqC1FU4+2SWIxx6DkojLbowxKeGr5iAixwP3AguACuBx4Anv/d8DN6cqwHzW7uC2cePcUqMzZ8KYMVaDMMakjd/bShcAVwC/857fqqonA/2BpUD8LjkmqliD2MrKyqiqqnIjqSdP5o3f/haeeQaOOgrWrElzlMaYrshvchgAvKqqrUArsCmAqq4ArgHOTE14+S3a4LaioiJWrFixUTvEzx98kFknnwxPPeVqED/8kKGIjTFdhd/k8D3Q3Xu8CBgY8poA/kZ8mY1EG9y26aabbtTdFVw7xLEvvAB1da4GMXKkW3rUGGNSxFdXVhH5P+AVVb1WRG4CfgVcDqz1fn6mqgelNNI4cqUrqx8FBQVE+0xEhLa2Nqivh7FjYY89XE3CBsoZYzooGV1ZrwaCraeXA28CtwH34NocTutskMZpd5K96mr4xz/g7bfdOIhvvkljdMaYrsJXclDVN1T1Ie/xd6o6GtgE2ExVh6vqZ6kMsivxNcnemDFucNz8+bDvvrBoUZqjNMbkuw4PglPVNar6faLvE5FDRGS+iCwQkYviHHeUiKiIRK3y5Cvfk+z94heu/WHRIth77/XTfdfX12/o6VRVRX19fQZ+C2NMrktkENww4EjcOIdog+CO8VFGN+AW4CBgIfCWiDyuqh+FHdcLOBuIvQJOHquurvY142r9F1/wQM+e3NXURPdBg7hz9GgmzZy5fmBdcMR1sExjjPHL7yC4Cbgv6lOAbYEtomx+7AksUNXPVHUtMB0YHeW4K3BdZG3UVwzBWV+fWryYvYFv2tr43YwZHBBlxPXYsWOtJmGMSYjfmsP5uMbn01V1XSfO1w/4IuT5QmB46AEishuwtao+KSIXdOJceS106o3PgX2AJ4HHcL0D7go5trW1FbCahDHGP79tDn2BBzuZGNolIgXA9cB5Po4dLyKzRWT2N12wx0741BtLgQOAmcCduKqXRHlfcO4mY4yJx29yeJqwv/A7aBGwdcjzCm9fUC9gEPCSiDQAewGPR2uUVtU6VR2mqsO22MLvXa38Ea3L6yrgCFxyuBR4kCiNQ8Se08kYY4L8JodbgLEi8kcR2VtEdgrffJbzFjBARPqLSDHwa9wkfgCo6v9UtY+qVqlqFfAGcLiq5scItySK1eX1lAkTuLKykgtxIxVfxFX7Qm00d5O1QxhjolHVdjegLWRrDdvagFY/5XhljQQ+AT4Farx9k3FJIPzYl4Bh7ZW5++67a1c0bdo0DQQCKiIaCAR02rRpG73+0sSJuhK0AXSQW9VPi4qKtLi4WPGeA1paWhrxXmNM/gNma4zvVb/TZ/zMR5L5t++MlGT5NH1Gsj115ZXsNmkSpa2tnLvFFjzW1sayZcsijttoLWtjTJcQb/oMWya0K1i40I2qnj2bSbhqWvinvn7uJmNMl2HLhHZ1FRXw8sswdiyTgEdxLf+hYs3pZIzpmvwOgmsTkdYY2zoRWS4iL4rImFQHbDqoRw+45x5mn3gih+JGNG7vvRQxd5MxpsvzW3M4F9fldB4wBbcy3LXAx8CXwI24xulHROSEFMRpkkGEYffdx4uXXELfggLeBE7r0yf63E2dYPM7GZP7/DZIT8GNWj4uymvTgSWqOlFE7gOGquouyQ81Nmtz6ICmJjjmGJg1C846C669FoqLO11scFqP5pBpPEpLS5OegIwxnZeMNoeTcNNnRHMPcKL3+CHckqIm21VWunaIiRPhppvgpz+FJPRWCp3WI8hGZRuTe/wmh0JgxxivDQwpZy02WV7uKC6GG26Af/7TrQ2x665unQhPR24PxRp9baOyjcktfpPDdOBqETlXRAaIyGbez/OBq4AHvON2w7VDmFxy5JFuZblttoHRo+F3v2P6Pfcwfvx4GhsbUdX1k/adccYZcRNGuyvZGWNyQ6zRcbrxSOViXKNzMxuPjm729hd7x+2HjxHNyd666gjppFu9WvW881RB5xcV6S4ho6iDm4jEHV09bdo0LS0ttRHYxuQAOjtCOkhEyoDBwJbAEuB9VV3eufTUedYgnWTPPceXBx9MOXARLvvH+1cSPrq6vr6empoampqaqKyspLa21hqjjclCNkLatCv8C734+++59ttvGQ08C/wWt/hGNDa62pjcFC85xFzsR0RGAq+o6vfe47hU9alOxGgyKLz7aWNjI0VFRRxTVMS4lhb+AnyAG+xyd5T3W3uCMfkn3kpwT+DWU3jTe6xEXz8G77VuyQ3NpEu07qctLS2Ul5czs2dPnm9spL57d+5as4ZfFRTw27Y2vvSOs9HVxuSneMmhP7A45LHJU7G6mS5fvpylS5e6J21tcPPNHHjBBXy0bh0T29p4sbKS2quusvYEY/JQzK6sqtqoqmtDHsfd0heySTZf3U8LCuCssyh8/316jxjBPUDDgAFU77VXUmOxqTeMyQ4Jz8oqIqUi8nsRuUVELhORQCoCM+kTa1W5qLeLtt/ejay+9VZ4800YPBimTIF1nV9ePNj2ET62whKEMRkQq48r8Bfgk7B9vXCD3Fpxa9q3AN8B28cqJx2bjXPovPZWlYtq4ULVI45QBdWhQ1VnzepUDIFAIGJcBaCBQKBT5RpjoqMj4xxE5G3gMVWdHLLvT8BlwCmqereIbAE8hxvvcGLUgtLAurJm2IwZcOaZsHgxnHIKXHUV9OmTcDEFBQVE+/doXWWNSY2OTrxXBcwJ23cU8JGq3g2gqt/gahj7JCFOk6vGjIGPP4Zzz4W774YddoC//x1aWxMqxqbeMCZ7xEsOhYRMoueNjh4I/CvsuAbciGnTRdXX11M1eDAF11/PwX378lXfvnD66bDXXvD66xuOaaehOaG2D2NMasW63wTMBq4Ief4bXFvDqLDjjgIWxionHZu1OWRO1LmUevTQV844Q3WrrVRBP99rL92hpMTXfEsdavswxnQIHWxzGAfcAdwGfAWcBawABqpqS8hxfwcCqnpIshOXX9bmkDlVVVU0Nkb2ZA4EAjR88AFMmcLqK69EVbke+DOwMvSYJKwhYYzpmA61OajqVOBy4EjgYmA+MCYsMWwBjAb+L5kBm9wRd/2Gnj1h8mS2V+WfQA3wX+B03D3LxsZGG9NgTJaKO85BVa9W1QpV7amq+6rq+2Gvf6OqW6rqbakN02QrP43IBYEAJwLDgU9wVdGPgGOBJhvTYExWSngQnDGh/DQiB495E/gZMArX02E6buKuA73jEllO1EZSG5NisRojcmmzBunM8tOIHH5MAeiJoJ+DKujLoPt5iwn5OZ8tKGRM55GsxX6ylTVI555gQ3Yxbq2IGqAf8Hr37ox49lnYd9923xvOGriNSUxHB8EZkzLBW01rcW0Q2wLnFRUxtKQEfvYzOOAAeOEFV68IE7cR3BiTFJYcTEZUV1dTV1dHIBBARNgyEGC3e+6hx+LFcMMNMH8+HHgg7LUX/z73XPoHAuvbF8rKyqKWaSOpjUkeu61kstOaNXDvvay47DJ6ff017wNTgIcAiooQEdauXbv+8NLSUurq6mxtCWMSYLeVTO7p3h3Gj2doSQnVuCUI7wc+Aya2tNBvk03W1zoCgYAlBmOSLN5KcMZk3OdffMFnwAPAIcB5uBrEZd9+S6+xY+Gss6C/LVRoTLJZzcFktdB2hGeAg4ChwHObbAI33wzbbguHHw7PPUf9tGntjn2w8RHG+GPJwWS1aIPs/ltayg9//zs0NEBNDbzxBhx8MLv/5jeMamykZ4wR17bSnDEJiDUAIpc2GwSX39odZLd6tU4sL9dZ3oC6FaB1oMNAuxUUrH9feXm575XmbHZY0xUQZxBcxr/Yk7FZcjAiooDuAXon6EovUcwBPQ100yhJIbiFj8pO9ghsSzQmW1lyMHkvfP3pTUEngM71ksQq0PtBDwCVsORQXl6+0Zd3IjWMcOGJYMKECTbVh8laWZUccJ1O5gMLgIuivH4ubtLO94AXcGtFWHIwcUX7az+47QF6K+i3XqL4HHQS6HagRUVFWlxcHLNWEa+G4SeGYI0mfAtPSJYsTCZkTXIAugGfAtsAxcC7wE5hx+wPlHqPJwAPtVeuJQejuvFf7d26dYv4Qi4BPbVnT/13SYm2eolidmGhngm6hY/k0F7NIbz2kshmtQmTCfGSQ7p7K+0JLFDVz1R1LW7W5tGhB6jqi6ra7D19A6hIc4wmR1VXV9PQ0EBbWxv33ntvRC+ngtJSfnb77ez7ww8ULFwI115Lt3Xr+BvwJfAUMBboHaVsP2tZd2Zup1jTlVvXW5MxsbJGKjbgaODOkOcnAjfHOf5m4NL2yrWag4nGT0NwIBDQnUGvAv3Mq02sAX2mqEjPLi/XTb0ag5+/6mPVHGLdWop2XHj81l5hUoksuq3kOzkAJ+BqDt1jvD4emA3MrqysTMmFM/kv/At4D9C/FhbqyvJy99+juFh15EjVO+5Q/eqrhMoKfplPmDDBV4N3MhvGjfEjm5LDCGBmyPOLgYujHHcgMA/o66dcqzmYzohaw2htVX31VdXzzlPt318VtFVE3+jeXc8B3ffHP/a1qFGsY8KTSDIbxo3xK5uSQyFu7rT+bGiQ3jnsmF1xjdYD/JZrycGkVFubPlFbq7WFhfqed+tJQeeJ6IejRqm+/LJqS0tCRYYnkVi1hI7WHGxshfEja5KDi4WRuHXmPwVqvH2TgcO9x88DXwFzve3x9sq05GBSLbQ9oQr096DPeu0TCqqbbab6q1+p3n236pdfJly+33YJP20O1lZh/IqXHGw9B2N8KCgoINr/ld7Adw8/DE8/Dc88A4sXuxeGDoWDDnLbT34CPXrELT/W0qfl5eX07NmTpqYmKisrqa2tbXdqcltG1fgVbz0HSw7G+ODrC1cV3ntvQ6J47TVoaYGSEpcgDjoI9t8fdt0VCjeeLT84KWBzc/P6fR1dwChWIhMR2traEirL5Ddb7MeYToo2O2zE2AcRGDIELroIXnoJli+HJ5+ECRNgyRL4wx9gzz2hvBwOOwyuvx7efhtaWyOWTe3MAkaxlku1ZVRNQmLdb8qlzdocTDp0upF38WLVBx9UHT9edcCA9Q3b2quX6iGHqNbWusbtH37odJzW5mD8IJsapFOxWXIwOemLL1Tr61VPP1115503JIviYtW99lI991zVRx6JaOD22102l3or5Vq8+SJecrA2B2OyxbJl8Morrq3itdfgrbdgzRr3WmUlDB/O24WF/OHRR3l1zRp+8N5WVFTEpptuyvLly303WmeTZLa3mMRYg7QxuWjtWnjnHZcoZs1ym9f4vQ43dfFsb5uDGzS0hthfrPX19dTU1CTU8ykdrHdV5lhyMCZPbCnCMGA4sDuwB7CF91oLblqBd4CmzTfnskcfdQ3km28e86/zsWPH8tRTT2U0YVjvqsyx3krG5ImSQIAngcuBUUBfoBI4EpgCLAQOBi779lvXbbasDAIBfnTqqVzS3MwxwI64qQqam5u5/fbbU7qmtp9ZZa13VZaK1RiRS5s1SJtMSXdDarxFjUK3YRUVqk8/rXr11arHH6/vga4NmfpjDeh7oA+A1oAeAboDaGECE/tFW/WuI6vgWe+qzMF6KxmTfJn6Ugv9Ui4vL4+YsC9aDIFAQItBdwE9AfRq0MfZME15cFsL+hGojhmjevHFqlOnqr7+uury5e3+7uFbrClBoiWfaEnWejClniUHY1Ig1voN6Z5Su6MzwQa/vDcB3R30RNy6FjN79FDdfnvVwsKNEsc3BQX6Cugjm2yitT166LGgu4Fu5nPCwNDz+vmdrDaRevGSgzVIG9NBudaQGt5baeTIkdx7772xu5C2tMBnn/FSXR3P/u1v9G9pYQCwHZHLMy7HzaT5mbd9HrI14RrLg/z0QrIeTOlhvZWMSYF8+ALz07012u9ZilsIfoD3cxtgW+9nFVAUcmwbbhnWRmBRt27sPHIkO48c6cZubL2123r3dtOPeHIt8eaqeMkh47eEkrHZbSWTCV3l1off6cSDWwHo1qAHd++uU/ffX2/o3VvvAX2te3f9vm9f1aKijW5XKaj27Kk6cKDqwQernnSS3ti7t54GOgp0V9C+oJLkW3Z+2zk62vaRzW0mwdhcCrA2B2OSLpu/AJIlVttK+LKm4b2VYl6LdetUFy5Ufe011YceUr3uOtWzz1Y98kjVPfdU7ddPW0UiEkgL6MqyMtU99lA9/HDV007Td8eM0UvKynQ06BFbbqkzrr9eddWqdn8nv6vxRdsXq8dVR3pqRXtvunu8qSUHY4wfnfmi60j5UctpadF/3nSTjt5ySx0DemlZmb5/+OGq48a52sUuu2jzpptqa3gNJLQmsu22qiNGqI4erXrKKaqXXKJ6ww2q06bpCX376q6gFaAlCTaoE1aDidfYH+99sd6b6iQSnuzVkoMxpj2xvqx81wo6WH5HbtV069ZNC0G38npN/RJ0HOifSkv1zl69tB705ZISXV5Zqc29e2tLrEQCugq0EfRt3Ap/D4LeAnoF6DmgY0EPA/0J6M6gPwbV5mZVjV2ziraF99Ty2+MtmbcwwxOXxvhetQZpY8x6qW5k70z50aYA8aOoqAgRoWXtWjYH+uCmHAn+LPe2PiFbWcjWLV7h3buzZM0avgO+A74F/uc9Dv35vfezx49+xMPPPOMa4Hv1ovsWW7A2SrHhDe/J/FzCy1JViXacJQdjzHqp7iXUmfJjfUF2lIhsFEswiaxdu+HruriwkN4i9GppYXNgc2DL4mLOrK5m+IAB8N13PHDrrRSuXMlm3uu9vW0zoLuPOFYDK8K2dSUl7HfYYdCrF/TqRe2NN65/bRWw0tuagZfnzIFNNtl4Ky6Oeb7wJBsrORRG22mM6ZoqKyujfgEna56jzpTf1NSUlBiCVJVAILBRN14gomtvcN/b3r5xtbUMD+nuq7vswkkxJjV84ckn+b6piR1//GN+MWIE/3niCbqvWUMvYFNg84ICNgU2aWujF9AL2KyggMFbbeWWnF25Elau5CLi1GB23z1yX2GhSxKlpW4LPu7Rg+rSUn4yaBBvffghv1q1Kub1seRgjFmvtrY26uytGy2HmqHyYyWWbt260dbWRmVlJStXrmTZsmW+Yol1SybarLTxZqoNvuZrvEhwfY6gtjbKy8vp2bPnRu/9Wdh7p0+bxlnjx9Pthx/YBNgE6NO9O5eecw4H7rUXrFoVuf3wg/vZ3Oy24L4lSwg0NxPo0wdWrZoT8xeL1RiRS5s1SBuTPKnuWtmZcQPtNcr67aKa8t5WUcTqweRnOpHOnDcebG4lY0w+6OgSqcn6Yu1Mr6Fkz8WVjN/JkoMxxiRBZ77gk9kdNVldjuMlB+utZIwxPnW2N1eylmqN1XMrvAdWe2tx20pwxhiTBJ1dta66upqGhgba2tpoaGiI+aXd3gp6sXpuhSeu5uZmampqfMUWzpKDMcb4VFtbS2lp6Ub7ktmbCzaMQ4i3fGsiXYsbGxvbXao1qlj3m3JpszYHY0y6pLo3l592jUTmcwrfH9rOgbU5GGNMbvDbruFn8abwNoig4BgPa3Mwxpgc4bddI7z94tZbb6Wuro5AIICIEAgEoiYG8Dfa3JKDMcZkkc60a4QnjEAgEPU4P20WlhyMMSaLVFdXR9QA4nVHjaczicbaHIwxJo/FG1sRr83BkoMxxnRR1iBtjDEmIZYcjDHGRLDkYIwxJoIlB2OMMREsORhjjImQF72VRGQFMD/TcYTpAyzNdBBRZGNcFpM/2RgTZGdcFpM/AVXdItoL+bKG9PxY3bEyRURmZ1tMkJ1xWUz+ZGNMkJ1xWUydZ7eVjDHGRLDkYIwxJkK+JIe6TAcQRTbGBNkZl8XkTzbGBNkZl8XUSXnRIG2MMSa58qXmYIwxJoksORhjjImQ88lBRA4RkfkiskBELspgHA0i8r6IzBWR2d6+MhF5TkT+6/3cPMUx3C0iX4vIByH7osYgzk3edXtPRHZLY0yTRGSRd63misjIkNcu9mKaLyK/SFFMW4vIiyLykYh8KCJne/szfa1ixZWx6yUiJSLypoi868X0J29/fxGZ5Z37IREp9vZ3954v8F6vSmNMU0Xk85DrNNTbn5bPzztXNxF5R0Se8J5n7Dp1WqzFpXNhA7oBnwLbAMXAu8BOGYqlAegTtm8KcJH3+CLgmhTHsC+wG/BBezEAI4GnAQH2AmalMaZJwPlRjt3J+wy7A/29z7ZbCmLaCtjNe9wL+MQ7d6avVay4Mna9vN+5p/e4CJjlXYOHgV97+28HJniPzwBu9x7/GngoBdcpVkxTgaOjHJ+Wz88717nAA8AT3vOMXafObrlec9gTWKCqn6nqWmA6MDrDMYUaDdzrPb4XOCKVJ1PVl4HlPmMYDdynzhvAZiKyVZpiimU0MF1V16jq58AC3Gec7JgWq+rb3uMVwDygH5m/VrHiiiXl18v7nVd6T4u8TYEDgEe8/eHXKngNHwF+LiKSpphiScvnJyIVwCjgTu+5kMHr1Fm5nhz6AV+EPF9I/P9MqaTAsyIyR0TGe/t+pKqLvcdLgB9lIK5YMWT62p3pVfHvDrndlvaYvOr8rri/PrPmWoXFBRm8Xt6tkrnA18BzuBrKd6q6Lsp518fkvf4/oDzVMalq8DrVetfpBhHpHh5TlHiT6a/AhUCb97ycDF+nzsj15JBNfqKquwG/BH4nIvuGvqiu/pjRfsPZEIPnNmBbYCiwGPhLJoIQkZ7AP4GJqvp96GuZvFZR4sro9VLVVlUdClTgaiY7pvP80YTHJCKDgItxse0BlAF/SFc8InIo8LWqzknXOVMt15PDImDrkOcV3r60U9VF3s+vgRm4/0RfBauv3s+vMxBarBgydu1U9SvvP3cbcAcbboWkLSYRKcJ9Ader6qPe7oxfq2hxZcP18uL4DngRGIG7NROcmy30vOtj8l7vDSxLQ0yHeLflVFXXAPeQ3uu0D3C4iDTgbm8fANxIllynjsj15PAWMMDrEVCMa9h5PN1BiMgmItIr+Bg4GPjAi2Wsd9hY4P/SHVucGB4HfuP15NgL+F/ILZWUCrvfOwZ3rYIx/drrydEfGAC8mYLzC3AXME9Vrw95KaPXKlZcmbxeIrKFiGzmPe4BHIRrC3kRONo7LPxaBa/h0cC/vFpYqmP6OCSxC+7efuh1Sunnp6oXq2qFqlbhvof+parVZPA6dVqmW8Q7u+F6InyCuw9ak6EYtsH1GnkX+DAYB+4e4gvAf4HngbIUx/Eg7rZDC+7+5m9jxYDruXGLd93eB4alMab7vXO+h/tPslXI8TVeTPOBX6Yopp/gbhm9B8z1tpFZcK1ixZWx6wXsArzjnfsD4PKQf/Nv4hrB/wF09/aXeM8XeK9vk8aY/uVdpw+AaWzo0ZSWzy8kvv3Y0FspY9eps5tNn2GMMSZCrt9WMsYYkwKWHIwxxkSw5GCMMSaCJQdjjDERLDkYY4yJYMnBGGNMBEsOxhhjIlhyyBLi5uxXb2sTkW9F5C0RqRWRLTtQ3lTx1pVItWSfS0QuF7d+QZuITE1WuSZ3icgxIjLOx3Evhfw/mpiCOEL/nz7S/jtylyWH7PI/3Lw1e+OG4D8KnAi8LyK7ZzKwdBGRYcCfgJtx89VckdmITJY4Bhjn89jg/E/TUxDHnV7Z76Sg7KxS2P4hJo3WqZtvPmimiNwGvAxMF5EdVbU1Q7GlS3DGz1s0bKbURIhIN9zCN2uTE1b+6ALXZnnY/6OkUdWFwEIR6fC/zVxhNYcsp27WyQuB7XATjAEgIj8VkX+LSLOILBORO4KT/0UjIiNE5HERWSwiq8Qto1gddsxI71ZO/7D9/b39cRdSEpEjRORjEVktIq+IyE5RjokZt3cL6X7v0P95Vff9vNeOEbcM6xoR+cK73VYYUu5UEZntxfAhsBoY3tHrFVbmKHFLdzaLyJPilhPdTtySnqu8Y3bx+3t6r7f7eXjH7Swiz4jIcu+4eSLyu5DXXwq/vSEi+3nXblB718ZHnB2+BgmWf5C4dRhWef92dg49BjgK+JlsuKUzKd5nFyWOPt77Dgzbf4OIzAp5Hvd6dyWWHHLDS8A63BKHiMg+uInhluBmdJyIm6DtnjhlBIBXcRPfHYabFvoeETku5JiZwJdsmC0yaBxu+uon2yn/etxtoONxUxDPFJGS4AE+4r4CuNJ7fACu+v62iBwMPAS8jVtB62/A+bhbT6GqcEt9Xo1bV+Nzn+eNpxKYDFwKjMfd8qvD3bKY7pVXiKvZSQLn8/N5APw/oBU4ATjc+93jJrUYqgi7Nglcl4SvASR03SuBa4Fa4DigL/BQSFlX4G4VvYP7NzECb7W1BAzxfr4bZf97Ic+Tdb1zX6Zn/rPNbbh1gpfGeX0xcJv3+D/Ai2GvH4Cb0XOQ93wqMDtGWYL7z/x33FTBoa9diftSlZBjG4Dr4sQ21Tv33iH7AriEdnrIPj9xj/Oe9ww55o0o77sQ95+4IiyGoVHia/e8cX6vdcC2IfumeO/7Tci+kd6+gR05X6zPA+jjvWdwnBhfAh4J27dflH8LEdcmgX9HCV+DDpQ/IOSYI7xjdgzZ9wjwko//RxHXw9t/LvBllP3LgN/7vd7tnSefNqs55I7gX6WluL+cHhaRwuAGvIKbFjtqw7WIbC4iN4lIo3dcC+6vwO3DDr0b98W+n/d8f+95e39lf62qrwWfqGojMAdvwZVOxN0N2A03vXGoh3A13xEh+xap6tyw93fovCEaVPXTkOcLvJ//irKvn9/z+fw8luOWkrxdRI4Vkb7txBrPRtcmweuS0DXoYPn/DXn+kfezogO/ZyxDCas1iFvzuYwNNYdkXu+cZ8khB3i3ZsqBr4DNgW7ArWz4UmkB1uAWWt86RjFTgWNx1feDcUsp3o2bV349Vf0M91fRSd6uk4A3VfXDdsKMtsrd10BwoZqOxt3He/2rsP3B52VR9oXq6HmDvgt7vjbK/uC+kgTON5V2Pg91K78djLstczewRET+IyK7thNzNOHXJpHr8l3Ye9u7Bskqv4TkGUL0W0rgJYckX++cZ72VcsP+uM/qddx/JMXdhnoqyrFfhu/wksuhwO9U9faQ/bH+OLgTuENELgaOBM7zEWO0v7L64hY/oiNxe5bivlTCy/+R93N5yL5oi5N09Lwd1e75Evk8VPVj4Chxy4f+FLgGeFJEKrwvs9VAcdjbNo9y3vBr026cUfYlItXl+yZulciBuEQcah9cjerb4A4f17vLsOSQ5cQth3gNrtr+vKq2isgbwA6qOtlnMd1xtcQ1IeX2wjW4RftCfRS3ctZ0731++ov3FZG9g7eWRKQSdzvoHgBVXdWBuPF+3znAr4DbQl46BmjDJcx47+/QeTvKz/lEpDeJfR6oagvwLxG5HngA2AyXGBcC+4YdfnAy4uyMFJS/lo7XJHbC1VbWf7mLSE+gmo0bo9eLc727DEsO2aVQ3Bq34HpI7A5MAEpxC6gHxzhcCLwgIm24hroVuB4fo3BLlH4SWqiq/k9E3gIuF9c/uw24CDfobtPwIFR1tYjUA78DHlTXnbY9S4FpInIp8ANuINvXuNsnQQnFHeKPuJ5P9+AS1WBcD5Y71PU7b09Hz9tR7Z7Pz+fhdQ29Dte+8hmuRvAH4F1VDX5RzQB+KyI34HqT7Q8ckqw4O/j7p6L8j4HRInIELiF+qap+ax9DcJ0XLhWRVtz33lnAlrheW0NU9V2f17vLsDaH7NIb95fwa7gG2KNxa+EOVtU5wYNU9RXcX4tb4MYF/D/cf8QviH7fHVz30s+A+4AbcV0n74sTy2Pez7t9xt6I6146CfcFvgL4haqu7mTcqOqzuBHjw7z3TAT+ApzpJ7COnrejfJ7Pz+exxDu+Bngad/9+Hq6GETzXk8AluH8rM3CdB85OYpwdluTybwWexf17fAvXeO/XENy60g/hbplOAe7C1QgG45IE+LjeXYmtIW2iEpEpuFs323S1e60md4nIS7juqccCraqqIvIvoElVxyWh/ALcH9UvAN+o6tGdLTNbWc3BbEREdhCRMbjbWTdbYjA56EhcJ4ZgDWoIMDdJZV/ulR3ezpN3rOZgNuL95TUceBw4UfN3/h2Th0RkBzaMaG7C9eT6AthfVV9KQvk/Bn7sPV3udf3OS5YcjDHGRLDbSsYYYyJYcjDGGBPBkoMxxpgIlhyMMcZEsORgjDEmgiUHY4wxESw5GGOMifD/AdySF2zd/Y6CAAAAAElFTkSuQmCC\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1399,8 +1393,8 @@ "\n", "_, _, T1 = fit_params\n", "\n", - "plt.scatter(delay_times_sec/us, t1_values, color='black')\n", - "plt.plot(delay_times_sec/us, y_fit, color='red', label=f\"T1 = {T1:.2f} us\")\n", + "plt.scatter(delay_times_sec/us, t1_values, marker='x', color='black')\n", + "plt.plot(delay_times_sec/us, y_fit, label=f\"T1 = {T1:.2f} us\")\n", "plt.xlim(0, np.max(delay_times_sec/us))\n", "plt.title(\"$T_1$ Experiment\", fontsize=15)\n", "plt.xlabel('Delay before measurement [$\\mu$s]', fontsize=15)\n", @@ -1422,7 +1416,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 51, "metadata": { "tags": [ "uses-hardware" @@ -1459,7 +1453,7 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ @@ -1469,7 +1463,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 53, "metadata": { "tags": [ "uses-hardware" @@ -1489,7 +1483,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 54, "metadata": {}, "outputs": [], "source": [ @@ -1513,17 +1507,19 @@ }, { "cell_type": "code", - "execution_count": 52, + "execution_count": 55, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "execution_count": 52, + "execution_count": 55, "metadata": {}, "output_type": "execute_result" } @@ -1535,8 +1531,9 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 56, "metadata": { + "IBM Job id": "63920322a04272d0294b0f98", "tags": [ "uses-hardware" ] @@ -1546,6 +1543,7 @@ "name": "stdout", "output_type": "stream", "text": [ + "\r", "Job Status: job has successfully run\n" ] } @@ -1564,7 +1562,7 @@ }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 57, "metadata": { "tags": [ "uses-hardware" @@ -1577,7 +1575,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 58, "metadata": { "tags": [ "uses-hardware" @@ -1586,14 +1584,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1604,7 +1602,7 @@ " iq_data = ramsey_results.get_memory(i)[:,qubit] * scale_factor\n", " ramsey_values.append(sum(map(classify, iq_data)) / num_shots)\n", " \n", - "plt.scatter(delay_times_sec/us, np.real(ramsey_values), color='black')\n", + "plt.scatter(delay_times_sec/us, np.real(ramsey_values), marker='x', color='black')\n", "plt.xlim(0, np.max(delay_times_sec/us))\n", "plt.title(\"Ramsey Experiment\", fontsize=15)\n", "plt.xlabel('Delay between X90 pulses [$\\mu$s]', fontsize=15)\n", @@ -1621,7 +1619,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 59, "metadata": { "tags": [ "uses-hardware" @@ -1630,14 +1628,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1646,14 +1644,14 @@ " lambda x, A, del_f_MHz, C, B: (\n", " A * np.cos(2*np.pi*del_f_MHz*x - C) + B\n", " ),\n", - " [5, 1./0.4, 0, 0.25]\n", + " [5, 4, 0, 0.25] # you may need to adjust these\n", " )\n", "\n", "# Off-resonance component\n", "_, del_f_MHz, _, _, = fit_params # freq is MHz since times in us\n", "\n", - "plt.scatter(delay_times_sec/us, np.real(ramsey_values), color='black')\n", - "plt.plot(delay_times_sec/us, y_fit, color='red', label=f\"df = {del_f_MHz:.2f} MHz\")\n", + "plt.scatter(delay_times_sec/us, np.real(ramsey_values), marker='x', color='black')\n", + "plt.plot(delay_times_sec/us, y_fit, label=f\"df = {del_f_MHz:.2f} MHz\")\n", "plt.xlim(0, np.max(delay_times_sec/us))\n", "plt.xlabel('Delay between X90 pulses [$\\mu$s]', fontsize=15)\n", "plt.ylabel('Measured Signal [a.u.]', fontsize=15)\n", @@ -1671,7 +1669,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 60, "metadata": { "tags": [ "uses-hardware" @@ -1682,7 +1680,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Our updated qubit frequency is now 4.962263 GHz. It used to be 4.962323 GHz\n" + "Our updated qubit frequency is now 4.960352 GHz. It used to be 4.962222 GHz\n" ] } ], @@ -1705,7 +1703,7 @@ }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 61, "metadata": { "tags": [ "uses-hardware" @@ -1723,7 +1721,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 62, "metadata": { "tags": [ "uses-hardware" @@ -1744,7 +1742,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 63, "metadata": {}, "outputs": [], "source": [ @@ -1761,17 +1759,19 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 64, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "execution_count": 61, + "execution_count": 64, "metadata": {}, "output_type": "execute_result" } @@ -1783,8 +1783,9 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 65, "metadata": { + "IBM Job id": "6392064f9498196285aa5b4c", "tags": [ "uses-hardware" ] @@ -1794,6 +1795,7 @@ "name": "stdout", "output_type": "stream", "text": [ + "\r", "Job Status: job has successfully run\n" ] } @@ -1812,7 +1814,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 66, "metadata": { "tags": [ "uses-hardware" @@ -1825,7 +1827,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 67, "metadata": { "tags": [ "uses-hardware" @@ -1834,14 +1836,14 @@ "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1852,7 +1854,7 @@ " iq_data = t2_results.get_memory(i)[:,qubit] * scale_factor\n", " t2_values.append(sum(map(classify, iq_data)) / num_shots_per_point)\n", "\n", - "plt.scatter(2*delay_times_sec/us, t2_values, color='black')\n", + "plt.scatter(2*delay_times_sec/us, t2_values, marker='x', color='black')\n", "plt.xlabel('Delay between X90 pulse and $\\pi$ pulse [$\\mu$s]', fontsize=15)\n", "plt.ylabel('Measured Signal [a.u.]', fontsize=15)\n", "plt.title('Hahn Echo Experiment', fontsize=15)\n", @@ -1861,7 +1863,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 68, "metadata": { "tags": [ "uses-hardware" @@ -1877,14 +1879,14 @@ }, { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1896,8 +1898,8 @@ "_, _, T2 = fit_params\n", "print()\n", "\n", - "plt.scatter(2*delay_times_sec/us, t2_values, color='black')\n", - "plt.plot(2*delay_times_sec/us, y_fit, color='red', label=f\"T2 = {T2:.2f} us\")\n", + "plt.scatter(2*delay_times_sec/us, t2_values, marker='x', color='black')\n", + "plt.plot(2*delay_times_sec/us, y_fit, label=f\"T2 = {T2:.2f} us\")\n", "plt.xlim(0, np.max(2*delay_times_sec/us))\n", "plt.xlabel('Delay between X90 pulse and $\\pi$ pulse [$\\mu$s]', fontsize=15)\n", "plt.ylabel('Measured Signal [a.u.]', fontsize=15)\n", @@ -1917,7 +1919,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 69, "metadata": { "tags": [ "uses-hardware" @@ -1945,7 +1947,7 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 70, "metadata": { "tags": [ "uses-hardware" @@ -1954,11 +1956,12 @@ "outputs": [], "source": [ "delay = Parameter('delay')\n", + "half_delay = Parameter('half_delay') # delay/2\n", "with pulse.build(backend=backend, default_alignment='sequential', name=\"T2DD delay Experiment\") as T2DD_schedule:\n", " drive_chan = pulse.drive_channel(qubit)\n", " pulse.set_frequency(precise_qubit_freq, drive_chan)\n", " pulse.call(x90_pulse)\n", - " pulse.delay(delay/2, drive_chan)\n", + " pulse.delay(half_delay, drive_chan)\n", " for loop_counts in range(num_sequence):\n", " pulse.call(pi_pulse)\n", " pulse.delay(delay, drive_chan)\n", @@ -1971,17 +1974,17 @@ " pulse.call(pi_pulse)\n", " if loop_counts != num_sequence-1:\n", " pulse.delay(delay, drive_chan)\n", - " pulse.delay(delay/2, drive_chan)\n", + " pulse.delay(half_delay, drive_chan)\n", " pulse.call(x90_pulse)" ] }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 71, "metadata": {}, "outputs": [], "source": [ - "T2DD_gate = Gate(\"T2DD\", 1, [delay])\n", + "T2DD_gate = Gate(\"T2DD\", 1, [delay, half_delay])\n", "\n", "qc_T2DD = QuantumCircuit(1, 1)\n", "\n", @@ -1989,22 +1992,29 @@ "qc_T2DD.measure(0, 0)\n", "qc_T2DD.add_calibration(T2DD_gate, (0,), T2DD_schedule, [delay])\n", "\n", - "exp_T2DD_circs = [qc_T2DD.assign_parameters({delay: get_dt_from(d)}, inplace=False) for d in taus_sec]" + "exp_T2DD_circs = [\n", + " qc_T2DD.assign_parameters(\n", + " {delay: get_dt_from(d),\n", + " half_delay: get_dt_from(d/2)},\n", + " inplace=False)\n", + " for d in taus_sec]" ] }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 72, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "execution_count": 69, + "execution_count": 72, "metadata": {}, "output_type": "execute_result" } @@ -2016,8 +2026,9 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 73, "metadata": { + "IBM Job id": "639218caec40c2a9d2f61b04", "tags": [ "uses-hardware" ] @@ -2027,6 +2038,7 @@ "name": "stdout", "output_type": "stream", "text": [ + "\r", "Job Status: job has successfully run\n" ] } @@ -2039,13 +2051,12 @@ " meas_return='single',\n", " shots=num_shots_per_point)\n", "\n", - "\n", "job_monitor(job)" ] }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 74, "metadata": { "tags": [ "uses-hardware" @@ -2058,7 +2069,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 75, "metadata": { "tags": [ "uses-hardware" @@ -2067,14 +2078,14 @@ "outputs": [ { "data": { - "image/png": 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KqTMMSac3WiYi9m89HDMzq6qyVVL1noG6KbA96TYg17QtIjMzq6RSCWOii/gkbQ2cCXy1nUGZmVn1tNSGERE3AZ8HjmpPOGZmVlXtaPR+DNiqDeWYmVmFlW303rHO5PWBHYDPAovbGZSZmVVP2UbvK0jPuqglYAnwD22LyMzMKqlswqjX6P0QsCIibm5jPGZmVlFle0n9otOBmJlZtflKbzMzK6Udtze/VtL17QjGzMyqqx13q/0lPlMxM5vx2nG32g+0IxAzM6s2nxmYmVkpTZ1hSPpbYDtgg9p5EfGNdgVlZmbVU/ZK76cB5wM7ki7gG3/CXvFiPicMM7MZrGyV1NHAvcDWpGTxEmAQ+BRwLemsw8zMZrCyVVJ7AB8Fbs3jiojlwH9ImkU6u3hdB+IzM7OKKHuGsQlwZ0SMAfcBTy3M+z/gZW2Oy8zMKqZswrgR2DK/vhKYV5j3JmBlO4MyM7PqKVsldTawF3A68DngR5JWAI8A/cAnOhOemZlVRdmbDx5aeP1TSS8D3gpsCJwXET/tUHxmZlYRU7rSOyKWkJ6D0TRJewNfA2YDx0XEF2rm9wPfIbWbzAYOiYhzprItMzNrnwnbMCQ9RZImmj+VdSTNBo4BXk+6puOddZ7mdxhwekTsDByAr+8wM6uEyRq9/wy8qGxBORn8Gdh5ksVeDFwXETdExMPAqcC+NcsE8JT8emPglrIxmJlZ50xWJSXgZZLmlCyrTI+rZwI3FcZXkC4CLDoC+LmkjwBPAl5TNzhpCBgC6O/vLxmimZlNVaM2jK9MSxRreiewMCKOlrQb8F1Jz8vXgDwuIhYACwDmzp1b73njZmbWRpMljG2mWOZkVUg3k24vMm6rPK3oA8DeABHxG0kbAHOAO6YYj5mZtcGECSMilnVge4uBbSVtQ0oUBwDvqllmOfBqYKGkHUh3xr2zA7GYmVkTpvV5GBHxKPBh4FzgalJvqCslHSnpzXmxfwM+KOly4BTgwIhwlZOZWZe14xGtTcnXVJxTM+3wwuurgN2nOy4zM5ucn7hnZmalrBMJY2RkhMHBQWbNmsXg4CAjIyPdDsnMrOdMe5XUdBsZGWFoaIhVq1YBsGzZMoaGhgCYN2/eZKuamVmBJmpPlnRQE+VERBzbnpCaN3fu3FiypP6trQYHB1m2bO0OXwMDA4yOjnY4MjOz6pK0NCLmll1+sjOMrzex3QC6ljAms3z58qamm5lZfRO2YUTErCaG2dMZdDMmum2IbydiZtacGd/oPTw8TF9f3xrT+vr6GB4e7lJEZma9qalGb0lbAduRrr5eQ1WfWTHesD1//nyWL19Of38/w8PDbvA2M2vShI3eaywkbUR6POte45Py38dX7ma11GSN3mZmVl+zjd5lq6Q+T3p298tJyeKtwJ7A8cCNwEubC9PMzHpN2YSxDzAMXJLHb4mIX0bEEPAj4N87EZyZmVVH2YTxNOCmiHgMeBDYrDDvHFZXVZmZ2QxVNmHcRHomBcC1wBsL814CPNTOoMzMrHrK9pI6j/So1DOBrwLfkbQr8FfgFcDRnQnPzMyqomzC+ATQBxAR35X0ALAfsCHp+Rbf6kx4ZmZWFaUSRkSsAlYVxs8knW2Ymdk6oum71UqaDTyxdnpOKmZmNkOVavSW9BRJX5d0C6nd4v46g5mZzWBlzzC+ReoZdRxwFfBwxyIyM7NKKpswXgf8S0Qc18lgzMysuspeh/EgsKKTgZiZWbWVTRhHAwdJmvG3Qzczs/rKVkk9E3ghcI2kC4F7auZHRHyinYGZmVm1lE0Y+wFjefnX1pkfpIv7zMxship74d42nQ7EzMyqzW0SZmZWSqkzDEnvmWT2GHAfcHlELGtLVGZmVjll2zAWsvpxrCpML04LST8B5kXEA+0Jz8zMqqJsldQuwHXAIcAOpGdj7AAcClxPuvX5e0mPcP1i+8M0M7NuK3uGcTTwjYj4WmHaSuAoSQ8Dn46IPSQ9Dfg34OA2x2lmZl1W9gxjN+DqCeZdDbwov14KbN5qUGZmVj1lE8YK4MAJ5r2P1bcN2RS4u8WYzMysgspWSc0HTpH0PODHwJ3AFsCbgB2BA/JyrwV+1e4gzcys+8peuPd9STeSruZ+F/B04DZgMfC+iFialzuoU4GamVl3lX7iXkQsAd7ewVjMzKzCpv1Kb0l7S7pG0nWSDqkz/6uSLsvDnyTdM90xmpnZ2iY8w5B0OnBoRFyfX08mIuIdjTaWnwd+DKmtYwWwWNJZEXFVoaB/KSz/EWDnRuWamVnnTVYltQXwhPz6qay+qrsVLwaui4gbACSdCuxLeuxrPe8EPt2G7ZqZWYsmTBgR8crC6z3btL1nAjcVxlcAL6m3oKQBYBvgggnmDwFDAP39/W0Kz8zMJlLlu9UeAJwREY/VmxkRCyJibkTM3WKLLaY5NDOzdc+ECUPSjpIOqDP99ZKWSnpQ0g2SPtbE9m4Gti6Mb5Wn1XMAcEoTZZuZWQdNdobxKeD9xQmSdgV+RLr54LHAFcDRksp2t10MbCtpG0nrk5LCWbULSdqedNX4b0qWa2ZmHTZZo/dLgM/XTPso8Bjw8ohYDiDpuDz9+402FhGPSvowcC4wGzghIq6UdCSwJCLGk8cBwKkR0Y6GdjMza4PJEsbTgWtrpu0D/GI8WWT/A3yn7AYj4hzgnJpph9eMH1G2PDMzmx6TVUndQ6oWAkDSDsBmwC9rlnsQ6Gt7ZGZmVimTJYxLgIMljZ+F/CPpWozaNocdmLjh2szMZojJqqQ+RWp0vjXfnuNvgNMi4oqa5d4FXNSZ8MzMrComu3DvCkk7kXpKbQz8jpq2CklbAJcDJ3cwRjMzq4BJ71YbEdeTnoUx0fw7gX9ud1BmZlY9Vb7S28zMKsQJw8zMSnHCMDOzUpwwzMysFCcMMzMrZbK71b6imWE6g26nkZERBgcHmTVrFoODg4yMjHQ7JDOzSpqsW+0i0pXdyuPFGwGKtZ/AN7t9YU2PkZERhoaGWLVqFQDLli1jaGgIgHnz5nUzNDOzytFEN4SV9NzC6JbACcDPgB8Ad5Ae2/o24HXA+yPifzsb6sTmzp0bS5YsaXq9wcFBli1bttb0gYEBRkdH2xCZmVl1SVoaEXNLL1/mDuKSfgT8ISIOqzPvc8BOEfHGpiJto6kmjFmzZlHv/UtibGysHaGZmVVWswmjbKP3q4FfTDDvF8CeZTdYJRM9C9zPCDczW1vZhLES2HeCeW/N83vO8PAwfX1r3pm9r6+P4eHhLkVkZlZdk95LquALwNclDZJubz7ehrEv8Hrgwx2JrsPGG7bnz5/P8uXL6e/vZ3h42A3eZmZ1lGrDAJC0L/BJYBdSj6jHgEuB/4iIH3YqwDKm2oZhZrYua7YNo+wZBhHxI+BHkmYDc4C7IuKxKcRoZmY9qKkrvSUJeAbpYUobdCQiMzOrpNIJQ9JBpEexLgN+BTwnT/+BpI91JDozM6uMUglD0r8DXwG+DbyK1Vd/Q7oi/B1tj8zMzCqlbBvGwcDhEXFUbsMougbYrr1hmZlZ1ZStkno6sHSCeWO4PcPMbMYrmzCuA/aYYN4rgKvaE46ZmVVV2Sqp/wS+Ielh4Iw87amSPgD8K/DBDsRmZmYVUiphRMRxkjYFDgc+kyefA6wCjoiI73UoPjMzq4iGCUPSLNLtzY8FvgnsRrpwbyXwm4i4t6MRmplZJZQ5w5gFjAJvioifAT/vaERmZlZJDRu9I+JR0sV6fY2WNTOzmatsL6kvAvMlzelkMGZmVl1le0ntRWrHWCZpKXA7az7TOyLCV3ubmc1gZRPGHNIV3cVxMzNbh5TtVvvKTgdiZmbV1tTtzc3MbN1V6gxD0lGNlomIj5csa2/ga6Sn9h0XEV+os8z+wBGkdpLLI+JdZco2M7POKduG8fY60zYFngLcC/wZaJgw8p1ujwFeC6wAFks6KyKuKiyzLXAosHtE/FnSU0vGaGZmHVSqSioitqkzbEK66ns5MK/k9l4MXBcRN0TEw8CpwL41y3wQOCYi/py3fUfJsjtiZGSEwcFBZs2axeDgICMjI90Mx8ysa1pqw4iIS4AvAV8vucozgZsK4yvytKLtgO0k/VrSxbkKay2ShiQtkbTkzjvvbDb0UkZGRhgaGmLZsmVEBMuWLWNoaMhJw8zWSe1o9L6b/LjWNlkP2BbYE3gn8G1Jm9QuFBELImJuRMzdYost2rj51ebPn8+qVavWmLZq1Srmz5/fke2ZmVVZ2UbvercFWR/YATgSuLLk9m4Gti6Mb5WnFa0ALomIR4AbJf2JlEAWl9xG2yxfvryp6WZmM1nZM4wHgPtrhruBX5OexndQyXIWA9tK2kbS+sABwFk1y/yQdHZBvhXJdsANJctvq/7+/qamm5nNZGV7Sb2fNW8FAvAQ6Wzgt/lsoKGIeFTSh4FzSd1qT4iIKyUdCSyJiLPyvL0kXQU8Bvx7RNxdMs62Gh4eZmhoaI1qqb6+PoaHh7sRjplZVymiNg/0nrlz58aSJUs6UvbIyAjz589n+fLl9Pf3Mzw8zLx5ZTuFmZlVl6SlETG39PJlEka+FuJJEXFjHhep++uOwPkR8eMpxtsWnUwYZmYzVbMJo2wbxkLgXwrjRwLfAPYGzpR0YNkNmplZbyqbMHYBLoDHH9n6IeCTEbE9MAx8rCPRmZlZZZRNGBuTekUB7ApsBoxfvXYB8Ow2x2VmZhVTNmGsILVXALwB+GNEjF8/sTGpx5SZmc1gZbvVngAcJek1pIRxaGHeS4Gr2x2YmZlVS9kHKH1e0s3Ai4CPkBLIuM2A4zoQm5mZVUjpe0lFxEkR8ZGIOD4KfXEj4kMR8Z3OhFdtvpOtma1Lmrr5oKT1JD1L0o61Q6cCrKoyd7JtJaE4GZlZ5UREwwF4AnAssIp0u461hjLldGrYddddY7oNDAwE6XYpawwDAwMREXHyySdHX1/fGvP6+vri5JNPblh2K+uamZVFuiVT6e/asld6fxY4kPRUvRHgYOBB4O+BvwE+EhHntCOBTUU3rvSeNWsW9fadJMbGxhgcHGTZsmVrzR8YGGB0dHTSsltZ18ysrE5d6T3+jO3T8/hvI7Vp7AVcxNpPzZvxGt3JttGt0SercvJt1c2sisomjK2BP0XEY6RrLjYtzBsB3tbuwKpueHiYvr41HxNSvJPtZAmlUfuHb6tuZlVUNmHcCmySX98IvKIw72/aGVCvmDdvHgsWLGBgYABJDAwMsGDBgsfvZDtZQmn0JL9GycjMrCvKNHQAxwNH5dcfAx4BvgecSGoIP76ZhpN2D91o9C7j5JNPjoGBgZAUAwMDjzdaS6rbYC6p4bpmZu1Chxq9nw7MiYgr8vi/APsBGwLnAUdGxINtzGNN6bXbm7tR28yqoCON3hFx23iyyONfjYjdI2KXiPhEN5NFL3KVk5n1omYv3NtR0rslfTKfdSDp2ZI26kx4M1Oj9g8zsyoqlTAkPVnS6cAfSPeN+izwjDz7P4BPdya8mWvevHmMjo4yNjbG6OjojEgWvjrdbGYre4bxFeBlwGuAjQAV5p1DevKeTZNWv5g78cVe5lYpZtbjyrSMA3cB8/Lr2cAYsEsefyVwfzMt7e0eqtpLqhNavW1Ip2470uhWKWZWPTTZS6rsGcaGrH7iXq2NSPeTsmnQ6BqOVtef6tmHr043m/nKJozFwHsmmLcf8H/tCccaKfPFPNXbjrRSreSr083WAWVOQ4CXk24J8r/AP5LOKA4Dvgv8BXhRM6c17R7WpSqpVu+SO9n6rVQr+Q67Zr2HJqukyi8IuwO/Il3lPZaTxq+B3ZvZYCeGdSlhtJIQGq1f5gr0RrH56nTrhnXx2GvHe+5Ywnh8hdSe8Qygr9l1OzWsSwkjYvIDpZXbjrjhulrWxS/BqVgXz27b9Z47njCqOKxrCWMyrlaaGfxZlLcu/tBp13tuW8IADm9i+FQzG2334ISxWju63fpXbXmd2l/r4pfgVLValdqLGr3nssdlOxPGGOmpencAdzYY7mhmo+0enDDW5C/96dHJs4B18UtwqtbF5DrZe27muGxnwrgWeBj4KfBeYKNmCp7OwQnDuqGTX1Tr4pfgVK2L1XeTvedmjp22tmEAc4EvA8tJz734AfB2YMNmNtLpwQnDuqFd1QL1rItfgq1YF8+qW3nezri2Jow1FkxP2fsGcDtwP+nRrK9oZmOdGpwwrBtfGO2qFpjIuvglaK3r2hlG3RVgfeBLwKPAD5pdvxODE8a6rVu/xlutFqhqQuhWXFXdH72mK20Yay2YLtz7b9LzvR8ATgX2aGZjnRqcMNZt3azvn2q1QDernCb7Yq5i8u1lVU++7W7D2AU4ClhGujXID4EDqNBFe+GEsc6rYo+iRkmsW0mu1TsFdEqVG/mn+qXfC0mwbQkDuIbUS+pnwIHAU5opeJJy985lXwccUmf+gaSuupfl4R8alemE0RtabQSeaN0qftk0+rLoVpJrtK86HVc7GmqnUytf+q0el9NxdtLOhDFG6hl1J+lajEmHUhtLz9K4HngWqS3kcmDHmmUOBL7ezJtwwqi+Vv7xGq1b1V9yVUxyjb6YOxlXu7qCTqdW4molCU7XMd3OhPHpZoZSG4PdgHML44cCh9Ys44QxA7Xyj9fLDcgT6dYV+Y32ZSfjmmzbVW3TaeVLv9PHfDu0LWF0YiA9O+O4wvi7a5NDThi3Ar8HzgC2nqCsIWAJsKS/v7+tO9EmNtUvqlb+8Tp9F92qN0zWW6/Rl+tEZbeybqtxdfK6lanqZJtOK/t6uqroZkLC2Bx4Yn79j8AFjcr1Gcb06FZ9bif/aatanTWZVs8SOvXF3CiuKlY7dXpfTrVHms8wUgJoWCVVs/xs4N5G5TphTI9O/9rqxLq9+CXWSDfbIVqJq4rJuZXHAbT6fqpQRVf1hLEecAOwDasbvZ9bs8yWhddvBS5uVK4TxvTo5gOWOlUVVsVqkkYaJYSq9sCKqN7+7NaZb0R3j73iWUxUNWFESgL7AH8i9Zaan6cdCbw5v/48cGVOJhcC2zcq0wljenTyl2sVq0mq+Is4orvXUnTzor9OHCOtxNxqYu7WmWDte44qJ4xODE4Y06NTXwid/KJppQ2jytVV3fji7mSDeTu23UrZU4m51eOjWz9IauMOJwzrlE58IXT6i3mqDZNVvZisjF78nKq67Ym04wu/G1V0tcd1NPFdq4ig182dOzeWLFnS7TBsimbNmkW941ASY2NjXYgoGRwcZNmyZWtNHxgYYHR0dPoD6rJufk5VPUZGRkaYP38+y5cvp7+/n+HhYebNm9e1eMqoPa4jQmXXndWRiMya0N/f39T06TI8PExfX98a0/r6+hgeHu5SRN3Vzc+pqsfIvHnzGB0dZWxsjNHR0conC6h/XJflhGFdV9Uv5nnz5rFgwQIGBgaQxMDAAAsWLOiJL4VO6ObnVNVjpBcVj+umNVN/VdXBbRi9r2rdLa2+bn5O3eiWPdPR5HUYbsMwsxltZGSEoaEhVq1a9fi0vr6+dfpscZykpRExt+zyrpIysxlt/vz5ayQLgFWrVjF//vwuRdS7nDDMbEZbvnx5U9NtYk4YZjajVbWHVS9ywjCzGc09rNrHCcPMZjR3j24f95IyM1tHuZeUmZl1hBOGmZmV4oRhZmalOGGYmVkpThhmZlbKjOglJel+4JpuxzFFc4C7uh1EC3o5fsfePb0c/0yKfSAitii78nrtj6crrmmma1iVSFrSq7FDb8fv2Lunl+Nfl2N3lZSZmZXihGFmZqXMlISxoNsBtKCXY4fejt+xd08vx7/Oxj4jGr3NzKzzZsoZhpmZdZgThpmZldLzCUPS3pKukXSdpEO6HU8tSSdIukPSFYVpm0k6T9K1+e+mebok/Vd+L7+XtEv3IgdJW0u6UNJVkq6U9NFeiV/SBpJ+K+nyHPtn8vRtJF2SYzxN0vp5+hPz+HV5/mC3Yh8nabakSyX9JI/3Uuyjkv4g6TJJS/K0yh83OZ5NJJ0h6Y+Srpa0Wy/ELuk5eX+PD/dJ+lhbY4+Inh2A2cD1wLOA9YHLgR27HVdNjK8AdgGuKEw7Cjgkvz4E+GJ+vQ/wU0DAS4FLuhz7lsAu+fVGwJ+AHXsh/hzDk/PrJwCX5JhOBw7I078J/FN+fRDwzfz6AOC0Chw7/wp8D/hJHu+l2EeBOTXTKn/c5Hi+A/xDfr0+sEmvxF54D7OB24CBdsbe9TfW4k7ZDTi3MH4ocGi346oT52BNwrgG2DK/3pJ04SHAt4B31luuCgPwI+C1vRY/0Af8DngJ6SrX9WqPH+BcYLf8er28nLoY81bA+cCrgJ/kf+qeiD3HUS9hVP64ATYGbqzdf70Qe028ewG/bnfsvV4l9UzgpsL4ijyt6p4WEbfm17cBT8uvK/t+cjXHzqRf6j0Rf67SuQy4AziPdDZ6T0Q8mhcpxvd47Hn+vcDm0xrwmv4T+Dgwlsc3p3diBwjg55KWShrK03rhuNkGuBM4MVcHHifpSfRG7EUHAKfk122LvdcTRs+LlNor3bdZ0pOB/wE+FhH3FedVOf6IeCwidiL9Wn8xsH13IypH0huBOyJiabdjacHfRsQuwOuBgyW9ojizwsfNeqQq5GMjYmfgQVI1zuMqHDsAuW3rzcD3a+e1GnuvJ4ybga0L41vlaVV3u6QtAfLfO/L0yr0fSU8gJYuRiPhBntwz8QNExD3AhaRqnE0kjd9DrRjf47Hn+RsDd09vpI/bHXizpFHgVFK11NfojdgBiIib8987gDNJCbsXjpsVwIqIuCSPn0FKIL0Q+7jXA7+LiNvzeNti7/WEsRjYNvceWZ90GnZWl2Mq4yzgvfn1e0ltA+PT35N7L7wUuLdwKjntJAk4Hrg6Ir5SmFX5+CVtIWmT/HpDUtvL1aTEsV9erDb28fe0H3BB/jU27SLi0IjYKiIGScf0BRExjx6IHUDSkyRtNP6aVJ9+BT1w3ETEbcBNkp6TJ70auIoeiL3gnayujoJ2xt7txpk2NO7sQ+q9cz0wv9vx1InvFOBW4BHSr5cPkOqXzweuBf4X2CwvK+CY/F7+AMztcux/Szp9/T1wWR726YX4gRcAl+bYrwAOz9OfBfwWuI50yv7EPH2DPH5dnv+sbh87Oa49Wd1Lqidiz3Fenocrx/8ve+G4yfHsBCzJx84PgU17KPYnkc4uNy5Ma1vsvjWImZmV0utVUmZmNk2cMMzMrBQnDDMzK8UJw8zMSnHCMDOzUpwwzMysFCcMMzMrxQmjRZKixLBnybL2l3TgFONYqPzcgWbLL7Nup7UzBkmHS7pZ0pikhe0o03pbM/9bkhYV/nc/1uY4jiiUfUY7y54O6zVexBrYrfB6Q+AC4HPA2YXpV5Usa39gDrCwLZGVL/+zpNh7nqS5wGeATwKLWH3fHFu3Nfu/dSHpGBptcxzHAT8DvtHmcqeFE0aLIuLi8df5rq4A1xenV11EXN/tGNpo/I60x0TNnXWbJWk2MDsiHm49rJljHdkvKzvxPxwRK4AVklo6NrvFVVLTKJ8W/0HSXyXdJGl4/O6juerkbcAehVPWI/K83SSdJelWSQ8qPX5xXpPbnqz8NaqDxsclvUHp8ayrJJ2t9KjHZys9tvXBvMwL6mzr5ZJ+kde7W9K3x29GVyLOtyg9GvMhSRdJ2rFs2fk9fjcvem9tdeBk+7/mfb9F0pXAQ6SHLk3pPbWyH8tsr8xxIem5kn4maWVe5mpJBxfmL6qtGpG0Z953z2vHfunkfiiU/Vqlx4w+mI+b5xaXYYJjvyxJc/J6r6mZ/lVJlxTGJ93fvc5nGNNE0l7AacBJwL+Tbo73WdKNwT6UX/eTHgd5UF5tRf47APya9FjOh0i3vz5R0lhEFO9KOZnJyq+nHzgSOIz0xLr/BhaQnh74bdJjHz8PnCrpuTF+NzNpd9INzn5IunPq5sAXSDdw24/JDQBfAT4F/IVUtXSupG0j4qESZX+W9ECYw0i3BP8LuTqwxP4fN5jf25Gkh83c2OJ7ano/NrG9MsfFj0l36f174K/Ac4CnNIi5nkFa2y+d3A/9wJeAYdJn/mXgNEnPz8dls8d+PS/Mfy+vM/33hfF27e9q6uadFWfaADyZdHfXA+vMuxi4sGbax4HHgK3y+BnAogbbECnRf4t0G+vx6QuBJQ3WrVt+7bp5/FHgbwrTjsrv7T2FafvkaTsUpv2qzvt8VV7ueZPEtjAv87LCtIEcx4fKlg0cmMefPIX9Px7DTjXLtfKemt6PU9leveOCVGcfwPMniXERcEbNtD1r9mlL+6WT+6FQ9raFZd6Sl9m+0bHfxD75V+CWOsveDXyk7P6ebBu9MLhKahoo1fnuwtpPwDqNVC2421orrbn+ppL+S9Iy0m3SHwGGgO06EO640VizbeO6/PeCOtOemePsI72X0yWtNz4AF+WYd22wzTsi4v/GRyJiGbAUeHErZTe5/2+OiMsK67b6npraj81sr8RxsZJ0xvVNSe+Q9NQGsU6m1f3Ssf2Qy762MD7eyWSrpt/lxHai5uxC0lbAZqw+w2jn/q4kJ4zpMQd4AnB7zfTx8c0arL8QeAfptHsv4EXACaTnIHTKPTXjD9eZPj5tPI5NgdmkHiCPFIa/kt5/8ele9dTr0XQH6cH1rZTdzP6vXabV93RPzXij/djM9hYyyXEREWN5+m15+m2SfiVp5wYx19PqfrmnZryd+2Gistv5//FC6ldHQU4Ybd7fleQ2jOlxF+lgr/3FMf4w9pUTrShpA+CNwMER8c3C9Com+3tIp+RHAOfUmX9Lg/Xr/SJ7KukhPK2U3cz+r31ATCvbnYpS2yt7XETEH4G3KT1q9+XAF4GzJW2Vv+AeAtav2camdbY73ful0+WXpvQ0zx1Iiblod9KZ15/HJ5TY3z3NCWMaRMRjkpYCbweOLczaHxgDfpPHH2btX0VPJJ0J/nV8Qu4l8maaf5h7vfLbJiIelHQx8JyIOHIKRTxV0svGq6Uk9ZOqkk5spewm9n+9dVt9T01pYntNHRcR8QhwgaSvAN8jNQCvJDX+vqJm8b3aGOeUdKD8Vo79HUlnNY9/4St1oZ/Hmg3ej5tkf/c0J4zp82lSj58TgVOB55N6b3w7Ut9sgD8C+0p6C+kf+ZaIuEXSYuBwpb7bY8AhwL003/uibvmtva21fBw4X9IYqaHxflIPlTeQHtX5p0nWvQs4WdJhrO4ldQerL7Zqpewy+78T72kqGm4vIu5tdFzkLqpfJrXV3EA6c/gEcHlEjH95nQl8QNJXSRebvhLYu11xtrAP2l1+K8f+C0mdIw6T9Bjpe/OfgaeTeou9MCIuL7m/e1oVqzVmpIj4OXAAMJfU9e5jwNHAhwuLfQP4Oan+czGpARPgXaQD8CTga8D/5NfNmqj8tomIi0i/WLcgXRPxY9I//k2sXQ9eaxnw/0jVEKeSviBeFxEPtVp2yf3fiffUtCa21+i4uC0vPx/4Kenzv5p0FjK+rbNJVzTvR0oeA8BH2xznlLS5/FaO/ReSngt/GulK7aOA40lnDs8nJQ4osb97nZ/pbWZWIGkRqbvsO0hnFucDyyPiwDaUPYv0Q/184M6IaHQdT6X4DMPMbG1/R+oo8VHSGcZlbSr38FxubbtRT/AZhplZgaTnAOO3H7mDVFX6yohY1IaynwE8I4+ujIgbWi1zOjlhmJlZKa6SMjOzUpwwzMysFCcMMzMrxQnDzMxKccIwM7NSnDDMzKwUJwwzMyvl/wNuibO/NOp2ogAAAABJRU5ErkJggg==\n", + "image/svg+xml": [ + "" + ], "text/plain": [ - "
    " + "
    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -2086,7 +2097,7 @@ " iq_data = T2DD_results.get_memory(i)[:,qubit] * scale_factor\n", " DD_values.append(sum(map(classify, iq_data)) / num_shots_per_point)\n", "\n", - "plt.scatter(times_sec/us, DD_values, color='black')\n", + "plt.scatter(times_sec/us, DD_values, marker='x', color='black')\n", "plt.xlim(0, np.max(times_sec/us))\n", "plt.xlabel('Total time before measurement [$\\mu$s]', fontsize=15)\n", "plt.ylabel('Measured Signal [a.u.]', fontsize=15)\n", @@ -2096,7 +2107,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 76, "metadata": { "tags": [ "uses-hardware" @@ -2105,14 +2116,14 @@ "outputs": [ { "data": { - "image/png": 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OOTzzzDM172Ht2rWoKuvWraNDhw60alW7ibmyspJ99923Zv6WW27h6quvBuDOO++kX79+7LfffvUeOwzNotE7Fotx4cKFrNu0ifdjMSoqKqzB25jGuOgiSFKVkpGyMrj99oySqKys5OOPP+aggw6qd5uBAwfyxRdfcMopdYdHb9euHT179mT27Nl10jj88MNZu7buUNu33HILxx57bJ3ld999N7fddhubN29m8uTJddY/+eSTPPvss0ljXLJkCd26dQOga9euLFmyBIALLriAk08+md133521a9fy5JNPUlAQ/Pf8jTfeyNy5c9lhhx1YtWpV4P3S1SwyjA4dOvD9Qw6B996j8uuvow7HGBOidevWcfrpp3P77bfX+oWfSBsY26e+9W+//XZa8YwcOZKRI0fy2GOPcd111/HQQw/VrJs6dSrFxcW1SgL1EZGaEsorr7xCWVkZkydP5quvvmLw4MEcfvjhKd+v33777Ud5eTmnnnoqp556alrvJx3NIsMAoKQExo+HbdugsDDqaIzJTxmWBMK2ZcsWTj/9dMrLy/nxj3+cctuPP/6YY445Jum6tWvXUllZSe/eveusS7eEETds2DB+85vf1Fr2xBNPcNZZZ9W7z2677caiRYvo1q0bixYtokuXLgA8+OCDXHrppYgIe++9Nz179uSLL77gwAMPrNm3VatWtXqE+hvxX3jhBaZMmcJzzz1HRUUF//nPf+pUaYWhydswRGSIiHwpInNE5NIk62MiMklEPhWRN0WkR6CEYzHYuhUWLw49ZmNM01NVzj33XPr27csf/vCHlNvdeeedLFq0iCFDhtRZv27dOs4//3xOPfVU2rdvX2f922+/zSeffFJnSpZZzJ49u+b1Cy+8QK9evWrmq6urGT9+fMo2hJNPPrmmRPLQQw/VVJ+VlJQwadIkwFVbffnll+y555619t1tt91YunQpy5cvZ9OmTTz//PM1x12wYAFHHXUUN910E6tXr2bdunX1xpCJJi1hiEghcDcwGKgCPhSRiao6y7fZLcDDqvqQiBwN3AD8osHEYzH3d9486N495MiNMU3t3Xff5ZFHHqnpxgpw/fXXc8IJJwBw8cUXc+2117JhwwYOPvhg3njjDVq3bl2z/1FHHYWqUl1dzWmnncYVV1yRcUx33XUXr7/+OkVFRbRv375WddSUKVPYY4896nzR/+pXv+K8885j0KBBXHrppZx55pmMGTOGWCzG+PHjAbjiiisYPnw4/fv3R1W56aab6NSpU610ioqKuPLKKznwwAPp3r07ffr0AWDbtm38/Oc/Z/Xq1agqF154IbvuumvG7zWZJh3TW0QOAa5W1eO9+csAVPUG3zYzgSGqukBcBd9qVU1ZkTdo0CCd9vDDsM8+8NhjkKJIaIyp7fPPP6dv375Rh2GyLNnnLCLTVXVQ0DSaukqqO7DAN1/lLfObAcQrK08DdhaRjokJicgIEZkmItOWLVvm2jDAlTCMMcaELhfvw/h/wBEi8jFwBPANsC1xI1UdraqDVHVQ586doW1b6NAB7A5vY4zJiqbuJfUNsIdvvoe3rIaqLsQrYYhIW+B0VV0VKPVYzEoYxjSCqtoDCJuxsJoemrqE8SHQS0R6ikhrYBgw0b+BiHQSkXhclwEPBE7dMgxj0tamTRuWL18e2peKyS3qjYfRpk2bjNNq0hKGqm4VkQuAV4BC4AFVnSki1+CeaTIROBK4QUQUmAKMDHyAkhJ4/XVQBfu1ZEwgPXr0oKqqimXLlkUdismS+Ih7mWryG/dU9UXgxYRlV/peTwAmNCrxWAzWrYNVqyBJf2tjTF1FRUUZj8RmWoZcbPRuPP+9GMYYY0LVvDIM61prjDFZU2+VlIic38g0n1TV5Y3cNzNWwjDGmKxJ1YZxVyPSU+B9IJoMo3Nn2HFHuxfDGGOyoKEqqYNVtSDIBLQGou2aJOKqpayEYYwxoUuVYbwFrEkjrWpvn7rPCW5KlmEYY0xW1FslpapHpZOQqlYDae2TFbEYzJgRdRTGGNPsNK9eUuAyjKVL4bvvoo7EGGOalYwzDBHZQ0RKwggmFPGeUgsWpN7OGGNMWsIoYXwNzA0hnXDYvRjGGJMVYTwa5Fyi7h3lFy9hWNdaY4wJVcYZhqo+HEYgoeneHQoKrIRhjDEha36N3kVFsPvulmEYY0zIApUwRGR8Q9uo6pmZhxMSGxfDGGNCF7RKqnOSZe2BPrjHgHwZWkRhiMXgvfeijsIYY5qVQBlGfTfxicgewNPAX8MMKmOxGIwfD9u2QWFh1NEYY0yzkFEbhqouAG4Abg4nnJCUlMDWrbBoUdSRGGNMsxFGo/c2IPOx/8Jkjzk3xpjQBW307pdkcWugL3At8GGYQWXMfy/GYYdFG4sxxjQTQRu9P8ONdZFIgGnAr0KLKAx2t7cxxoQuaIaRrNF7I1Clqt+EGE842raFDh0swzDGmBAF7SX1VrYDCZ3di2GMMaFqfnd6x8Vi9jwpY4wJURiPN58tIl+FEUyo4iUMTdb0YowxJl1hPK12CrlYUikpgXXrYOVK155hjDEmI2E8rfbcMAIJnb9rrWUYxhiTsdwrGYTFbt4zxphQpVXCEJEfAL2BNonrVPWesIIKhd2LYYwxoQp6p/duwCSgH+4GvvgIe/4W5dzKMDp3hh13tAzDGGNCErRK6lZgNbAHLrM4CCgFrgBm40oduUXElTKsa60xxoQiaJXUEcDvgPjjX0VV5wPXi0gBrnRxfBbiy4zdvGeMMaEJWsLYFVimqtXAGqCLb92/gUNDjiscJSWWYRhjTEiCZhhzgW7e65lAuW/dj4AVYQYVmlgMli6F776LOhJjjMl7QTOMF4DjvNfXAaeLSJWIzAUuBP6WjeAyFu9au2BBtHEYY0wzEPThg5f5Xr8kIocCpwE7Aq+p6ktZii8z/nsxeudeu7wxxuSTRt3prarTcONgpE1EhgB3AIXA/ap6Y8L6EuAhXLtJIXCpqr7YmGPZvRjGGBOeequkRKSdiEh96xuzj4gUAncDQ3H3dJyVZDS/y4Hxqro/MIxM7u/o3h0KCizDMMaYEKRqw1gJfD9oQl5msBLYP8VmBwJzVPVrVd0MPAGckrCNAu2817sAC4PGUEdRkcs07F4MY4zJWKoqKQEOFZFOAdMK0oDeHfC3QFfhbgL0uxp4VUR+C+wEHJs0OJERwAiAknjVUzLWtdYYY0LRUBvGbU0SRW1nAWNV9VYROQR4RET29e4BqaGqo4HRAIMGDap/0ItYDP7972zGa4wxLUKqDKNnI9NMVYX0De7xInE9vGV+5wJDAFT1PRFpA3QCljYqmlgMxo+HbdugsLBRSRhjjEmRYahqNupxPgR6iUhPXEYxDPhZwjbzgWOAsSLSF/dk3GWNPmIsBlu3wqJF0KNHo5MxxpiWrknHw1DVrcAFwCvA57jeUDNF5BoROdnb7P+AX4vIDOBxYLhqBuOsWtdaY4wJRRhDtKbFu6fixYRlV/pezwIOC+2A/pv3DgsvWWOMaWma74h7cf6hWo0xxjRa888wdtqJjW3b8mhFBQUFBZSWljJu3LioozLGmLzT5FVSTW3cuHHss349HVRRYN68eYwYMQKA8vLy1DsbY4ypIfW1J4vI+Wmko6p6bzghpW/QoEE6bVryR1uVlpby13nz6A3s61sei8WorKxsivCMMSYnich0VR0UdPtUJYy70jiuApFlGKnMnz+fedS9XXy+tWkYY0xa6m3DUNWCNKacvSOupKSE+cDOQPuE5cYYY4Jr9o3eFRUVLG7dGgCvvxTFxcVUVFREF5QxxuShtBq9RaQH0Bt393UtjR6zIsvKy8tpX1kJl19OL2BlLEZFRYU1eBtjTJrqbfSutZHIzsB4tg/TGh/zombnKKulUjV6A7BxI7RtC5deCtdd13SBGWNMDku30TtoldQNQAlwOC6zOA04EhgDzAUOTi/MJtamDfTpAzNmRB2JMcbkraAZxglABTDVm1+oqlNUdQTwLHBxNoIL1YAB8MknUUdhjDF5K2iGsRuwQFW3AeuBDr51L7K9qip3lZVBVRWsWBF1JMYYk5eCZhgLcGNSAMwGTvKtOwjYGGZQWTFggPtr1VLGGNMoQTOM19h+79tfgZEi8m8ReQO4Fng4G8GFKp5hWLWUMcY0StButX8EigFU9RERWQecAeyIG9/i79kJL0S77QZdu1oJwxhjGilQhqGqG4ANvvmngaezFVTWDBhgGYYxxjRS2nd6i0ihiBQnTtkILnQDBsDMmbB5c9SRGGNM3gmUYYhIOxG5S0QWApuAtUmm3FdWBlu2wBdfRB2JMcbknaBtGH/H9Yy6H5gF5OdPdH9Pqf32izYWY4zJM0EzjOOB36vq/dkMJut694YddnA9pX7xi6ijMcaYvBK0DWM9UJXNQJpEq1bQv781fBtjTCMEzTBuBc4Xkfx/HHq8p1SAhy4aY4zZLmiVVHdgAPCld7PeqoT1qqp/DDOwrBkwAMaMgYULoXv3qKMxxpi8ETTDOAOo9rYfnGS94m7uy33+hm/LMIwxJrCgN+71zHYgTcafYZxwQrSxGGNMHsn/Nol07bILlJZaw7cxxqQpUAlDRM5OsboaWAPMUNV5oUSVbTY2hjHGpC1oG8ZYtg/HKr7l/mUqIs8D5aq6LpzwsqSsDJ57DjZsgOL8eKqJMcZELWiV1EBgDnAp0Bc3NkZf4DLgK9yjz8/BDeF6U/hhhmzAAKiuhs8+izoSY4zJG0FLGLcC96jqHb5lK4CbRWQzcJWqHiEiuwH/B4wMOc5w+cfGOPDASEMxxph8EbSEcQjweT3rPge+772eDnTMNKisKy2Fdu2s4dsYY9IQNMOoAobXs+5/2P7YkPbA8gxjyr6CAvfwQcswjDEmsKBVUqOAx0VkX+A5YBnQGfgR0A8Y5m03GHg77CCzYsAAeOgh15ZR0PJ6FxtjTLoCfVOq6lPAwcCXwM+AG7y/XwAHqeoEb7vzVfWnWYo1XGVlsG4dzJ0bdSTGGJMXgpYwUNVpwE+yGEvT8t/xvdde0cZijDF5oMnrYkRkiIh8KSJzROTSJOv/KiKfeNN/RWRVVgLZd19XFWU38BljTCD1ljBEZDxwmap+5b1ORYNURYlIIXA3rq2jCvhQRCaq6ixfQr/3bf9bYP+G0m2UHXeE733PGr6NMSagVFVSnYEi73UXtt/VnYkDgTmq+jWAiDwBnIIb9jWZs4CrQjhucgMGwHvvZS15Y4xpTurNMFT1KN/rI0M6XndggW++Cjgo2YYiEgN6ApPrWT8CGAFQUlLSuGgGDIAnnoCVK6F9+8alYYwxLUQu9ycdBkxQ1W3JVqrqaFUdpKqDOnfu3LgjlJW5v59+2rj9jTGmBak3wxCRfiIyLMnyoSIyXUTWi8jXInJRGsf7BtjDN9/DW5bMMODxNNJOn7+nlDHGmJRSlTCuAH7pXyAiBwDP4h4+eC/wGXCriATtbvsh0EtEeopIa1ymMDFxIxHpg7trPLsNDF27QufO1lPKGGMCSNXofRDuBj2/3wHbgMNVdT6AiNzvLX+qoYOp6lYRuQB4BSgEHlDVmSJyDTBNVeOZxzDgCVUNo6G9fiKuWspKGMYY06BUGUZXYHbCshOAt+KZheefwENBD6iqLwIvJiy7MmH+6qDpZWzAAPjb32DrVmgV+D5GY4xpcVJVSa3CVQsBICJ9gQ7AlITt1gP5OwrRgAGwaRN8+WXUkRhjTE5LlWFMBUaKSPxn9//i7sVIbHPoS/0N17nPPzaGMcaYejXU6H0QsEhEZgMXAuNVNXGYup8B72Qpvuzr0wdat7Z2DGOMaUCqG/c+E5EyXE+pXYCPSGirEJHOwAzg0SzGmF1FRbDPPpZhGGNMA1K28qrqV7ixMOpbvwxX8shvgwbBk0/Cli0uAzHGGFNHLt/p3XSOPx7WrIH33486EmOMyVmWYQAce6zrUvvSS1FHYowxOcsyDIBddoFDD7UMwxhjUrAMI27oUNe1dtGiqCMxxpicZBlG3NCh7u8rr0QbhzHG5KhUI+79MJ2EVDXxDvC8MG7cOEaNGsX8efNYWFjIpvvuIzZ8eNRhGWNMzknVrfZN3J3d4s37HwQo1B2BrzC8sJrGuHHjGDFiBBs2bADghW3b+PHUqTz28MP87OyzI47OGGNyS6oqqf7Aft7f43CP/xgDnAgM8v4+4C0/PrthZseoUaNqMguAl3EPz/rnJZdEFpMxxuSqVHd6z4y/FpHrgYdV9fKEzV4WkeuAi4DXsxJhFs2fP7/W/GvAVmDgkiWRxGOMMbksaKP3McBb9ax7CzgylGiaWOJY4KtxIzad3Lp1JPEYY0wuC5phrABOqWfdad76vFNRUUFxce0ns79eVET/zZvBShnGGFNL0AzjRuB8EXleREaIyKne3xeA87z1eae8vJzRo0cTi8UQEWKxGAdddZVbad1rjTGmFgk6CqqInAL8CRiI6xG1DfgYuF5Vn8lWgEEMGjRIp02bFk5iqrD77nDkkfD44+GkaYwxOUhEpqvqoKDbBx6TVFWfBZ4VkUKgE/Ctqm5rRIy5TQSGDIGJE2HbNijMu97CxhiTFWnd6S0iAuwO7AW0yUpEuWDIEFixAj74IOpIjDEmZwTOMETkfNw9F/OAt4Hvecv/JSIXZSW6qAweDAUF9jBCY4zxCZRhiMjFwG3AP4Cj2X73N7g7wn8aemRR6tABDj4YXn456kiMMSZnBC1hjASuVNWrcKULvy+B3qFGlQuGDoVp02DZsqgjMcaYnBA0w+gKTK9nXTXNsT1j6FDXY8q61xpjDBA8w5gDHFHPuh8Cs8IJJ4fsvz906WLtGMYY4wnarfZ24B4R2QxM8JZ1EZFzgT8Av85CbNEqKHC9pV54wbrXGmMMAUsYqno/MAr4IxB/KOGLwB3A1ar6WHbCi9jQobB8uWvLMMaYFq7BEoaIFADdgHuB+4BDcDfurQDeU9XVWY0wSv7utQcdFHU0xhgTqSAljAKgEviBqq5V1VdV9TFVfblZZxYAHTvCgQda91pjjCFAhqGqW3E36xU3tG2zNHSou+P722+jjsQYYyIVtJfUTcAoEemUzWByUrx77YsvRh2JMcZEKmgvqeNw7RjzRGQ6sITaY3qrqjavu73jDjgAevWCe+8FG+fbGNOCBS1hdMLd0f0B7rHmnYDOvqlLVqLLBQUFcOGF8P77bjLGmBYq8HgYuSzU8TCSWbcOevRw92U88UT2jmOMMU0o3fEw0nq8eYvVti386lcwYQIsWBB1NMYYE4lAbRgicnND26jqJQHTGoK74a8QuF9V6wzvKiJnAlfj2klmqOrPgqSdVRdcAH/9K9x9N9yYlyPSGmNMRgJVSYnI3CSL2wPtgNXASlXdM0A6hcB/gcFAFfAhcJaqzvJt0wsYDxytqitFpIuqLk2VbtarpOJ+8hOYNMmVMnbaKfvHM8aYLMpKlZSq9kwy7Yq763s+UB7weAcCc1T1a1XdDDwBnJKwza+Bu1V1pXfslJlFto0bN47S0lIKCgo4/e23YeVKeOSRKEMyxphIZNSGoapTgb8AdwXcpTvgbwSo8pb59QZ6i8i7IvK+V4VVh4iMEJFpIjJtWZbGrBg3bhwjRoxg3rx5qCr/WrKE6QUFrL72WqiuzsoxjTEmV4XR6L0cb7jWkLQCegFHAmcB/xCRXRM3UtXRqjpIVQd17tw5xMNvN2rUKDZs2FBr2W3V1eyycKGNk2GMaXGCDtFanGTaVUQOAa5h+xNsG/INsIdvvoe3zK8KmKiqW1R1Lq7No1fA9EM1f/78OsueAhYC3H57E0djjDHRClrCWAesTZiWA+/iRuM7P2A6HwK9RKSniLQGhgETE7Z5Ble6wHsUSW/g64Dph6qkpKTOsi3AuF13hVdfhZlB80ljjMl/QTOMXyaZfgYcDuypqvUN31qL9yDDC4BXgM+B8ao6U0SuEZGTvc1eAZaLyCzgDeBiVV0e9A2FqaKiguLi2s9cLC4upucNN0CbNnDnnVGEZYwxkbA7vRswbtw4Ro0axfz58ykpKaGiooLy8nIYMcL1lqqqco9BN8aYPJNut9qg92F0AXby2hQQEcF1f+0HTFLV5xoZbyia7D4Mv5kzYd994frr4bLLmvbYxhgTgmw9GmQs8Hvf/DXAPcAQ4GkRGR70gM3GPvu4Efnuugu2bIk6GmOMybqgGcZAYDLUDNl6HvAnVe0DVAAXZSW6XHfRRbBwITz1VNSRGGNM1gXNMHbB9YoCOADoAIzz5icDe4ccV34YMgR694bbbnODLBljTDMWNMOowrVXAJwIfKGq8fsndgE2hh1YXigogEsvhenT4b77oo7GGGOyKmiG8QBws4g8BVwCjPatOxjXRbZlGj7ctWVcfDF8HcntIsYY0ySCPnzwBuC3wGLvr/8GhA7A/eGHlidEYMwYKCyEX/7SnjFljGm2Aj9LSlUfVtXfquoY9fXFVdXzVPWh7ISX22qeZBuLcXFREbz1Fvztb1GHZYwxWZHWwwdFpJWI7Cki/RKnbAWYqxKfZHvL8uW8VFDA1ksugf/+t2ab+KPRS0tLGTduXAOp1k6/sfsaY0xWqGqDE1AE3AtsALYlm4Kkk63pgAMO0KYWi8UUNyJgzdQNdGVBgeohh+i4hx/W4uLiWuuLi4v10UcfbTDtRx99tNH7GmNMUMA0TeO7Nuid3tcCw3EN3uOAkcB64OfAXsBvVfXFUHKwRojiTu+CggKSnbty4FHg+l13ZdSqVXXWx2IxKisrU6ZdWlrKvHnzGrWvMcYEla07veNjbI/35j9Q16ZxHPAOdUfNa/aSPckW4J2SEjjtNP6wahV9k6yPPzI9VZVTsseqp1pujDFNIWiGsQfwX1Xdhrvnor1v3Tjg9LADy3X1Pcm24vrr4d572VBQwENAYcJ+JSUlddo/5s2bx4gRI2oyjfoyo/qWG2NMUwiaYSwCdvVezwV+6Fu3V5gB5Yvy8nJGjx5NLBZDRIjFYowePdo9yXa33Zg5ciTfB/7o26e4uJiKioqkI/lt2LCBUaNGASkyo4qKLL8rY4xJIUhDBzAGuNl7fRFuHKHHgAdxDeFj0mk4CXuKotE7iLkHH6ybQMtAY7FYTaO1iNRpMAdURGr2ffTRRzUWi6mI1NrXGGPCQpYavbsCnVT1M2/+98AZwI7Aa8A1qro+vGwsPZE83jyIb7+F/fZzN/O9/rp7HDrWqG2MyQ1ZafRW1cXxzMKb/6uqHqaqA1X1j1FmFjmtUyeYPNndBX7kkfDRR4BVORlj8lO6N+71E5FfiMifvFIHIrK3iOycnfCagT59YMoU2GknOPpoeP/91O0fxhiTowJlGCLSVkTGA//BPTfqWmB3b/X1wFXZCa+Z2GsvePttV+IYPBimTKG8vJzKykqqq6uprKxsFpmF3Z1uTPMWtIRxG3AocCywMyC+dS/iRt4zqZSUuJJGjx5uHI3XXmt0Upl+MWfji72hrsLGmGYgSMs48C1Q7r0uBKqBgd78UcDadFraw55ytZdUUkuWqO63n2rr1qoTJ6a9e6aPDcnWY0eSPSoFr3eYMSY3kWYvqaAljB3ZPuJeop1xz5MyQXTpAm+84XpP/fjHMGFCWrs3dA9Hpvs3tvRhd6cb0/wFzTA+BM6uZ90ZwL/DCaeF6NDBdbM96CA480y44AJYvTrQrkG+mBv72JFMqpXs7nRjWoAgxRDgcNwjQV4H/hdXorgceAT4Dvh+OsWasKe8qpLyW7dO9cILVUVUd99d9amnVKurU+7SUNVPQ1VOqfbPpFrJnrBrTP4hzSqp4BvCYcDbuLu8q71M413gsHQOmI0pbzOMuA8+UC0rcx/HiSeqVlbWu2kmGUJD+we5Az0VuzvdRKUlXnthvOesZRg1O7j2jN2B4nT3zdaU9xmGquqWLaq33qpaXOymW25xy5JIdaFk8tgRa7jOLS3xS7AxWmLpNqz3nPUMIxenZpFhxFVWqp50kvtoyspUJ01qsJrKz6qVmgf7LIJriT90wnrPoWUYwJVpTFekc9Cwp2aVYai6DGLCBNeuAap9+qjefrvqihUN7hpGt1v7VRtcts5XS/wSbKxMq1LzUUPvOeh1GWaGUY0bVW8psKyBaWk6Bw17anYZRtyGDapjx6oefLD7qNq0UR0+XPX991OWOuxLv2lksxTQEr8EG6slZq6p3nM612WYGcZsYDPwEnAOsHM6CTfl1GwzDL+PP1Y97zzVtm21prrqnntUFyyIOrIWK5tfVC3xS7CxWmL1Xar3nM61E2obBjAIuAWYjxv34l/AT4Ad0zlItqcWkWHErVmjet99qgMGuI8vXmU1cqTq00+rrlwZcYAtR1jVAsm0xC/BTLTEUnV97zmd0mmoGUatDd0oe/cAS4C1uKFZf5jOwbI1tagMI666WnXGDNezauhQ17MKVAsKVA88UPWyy1RffNGVQNJoNM9XUXxhhFUtUJ+W+CVoMhdZCSPpDtAa+AuwFfhXuvtnY2qRGUaiTZtUp0xRvfJK1cMOUy0s3F4CaddO9dBDVUeMUL3zTtfzavHiZpORRPVrPNNqgVzNEKKKK1fPR76JpA2jzobuxr2/4cb3Xgc8ARyRzsGyNVmGkcSaNS4Duece1fPPV/3hD1U7dNieiYArlfTurXr00arnnKM6apSr7nr+edWPPlKdN8/djZ7jGUuU9f2NrRaIssop1RdzLma++SzXM990M4yUQ7SKyEBgGPBTYDfgZS+jmKiqG+rdsYnl7BCtuUYVFi+Gzz6DWbNg3jyoqoIFC9zfhQvdcLKJWreGjh3dM7A6dnRTu3bQtm3yaaedoE2butMOO7i/rVtDUdH2SaTuMdNQUFBAsutYRKhO9n6aQEPD8EY1TG/8eWH+B1AWFxfXDOAVVVy5PGzxuHHjGDVqFPPnz6ekpISKiopA49c0dK5zQbpDtLZKkdCXQE9gMm6ApH+p6poQAhwC3IF7TPr9qnpjwvrhuCqvb7xFd6nq/Zke1+C+mLt1c9PgwXXXb93qMpQFC2DRIlixApYvd3/9r2fPhrVrYd06N23alFlchYW1M5BWrdyy+NSqFWvWr2fJ8uVs3LKFwqIiuu6+Ox06dYKCAqYXFfHd5s1U4/qCx3+itm7dGo45BgoK3HsPMsXPU5C/9S0D3uralQ+rqti2zT3IWYHCwkK+360bDBvGjb4vx1pZ3bx5cNZZtc9PJhlqwr47PfMMoxOeVsyGDew0YgS8+CIVSb60a+IK4UtubmUlMz75hPUbNrBTcTEDysroWVqa9eM21tzKSlpNnUqF9zkybx6tzjmHuffcQ8/S0pT7NnSugxw72bmKUr0lDBGpxj1wcD0J13QyqtqlwYOJFAL/BQYDVbin4J6lqrN82wwHBqnqBQHiB6yEEbktW2D9+u0ZSDwT2bixZnp30iQeHTOGgs2baQ0UAcVFRfz4pJPYr29fl0Z82rbNZV7btsG2bcydM4dpU6fCtm0U4h6xXFRYSFn//nTv1o2FVVV8PnMmVFcj3vrCggK+16sXXTp1ciWr6mp/ZVzyCYL/rW+Zb371mjUsW7qUrVu3UtSqFZ06d2aXdu0A+Oqrr9iydSuJWUGrVq3Ya8896x6jMZLsO3vOnHo377X33sytrGTr1q111rVq1SrjL6s1a9eydOnSWqVBEaFLly4sX748a8fNRCbno6FznUqqc9Vu5/BGxJY5c9IqYaRqs7gqnSlI/RdwCPCKb/4y4LKEbYbjShXWhtGMZNLOkM8NyPWJ6o78hs5lNuPKdq+yxsr02Wz1yfY1HwZy+VlSuLEz7vfN/yIxc/AyjEXAp8AEYI960hoBTAOmlZSUhHoSTf0a+0WVyT9etp+im+sNk8n2a+jLtb60M9k307iyed9KY2X69OdM0o5v05hOE2FpDhlGR2AH7/X/ApMbStdKGE0jk1+BUf3aaijmfOydk2kpIarnX0XZm62xMWd6LhvbI81KGC4DaLBKKmH7QmB1Q+lahtE0sv1rKxv75uOXWEMa+vUZ1XvK5a7EjY05HndjS2up5EIVXa5nGK2Ar3G9r1oDM4B9Erbp5nt9GvB+Q+lahtE0ohxgKVtVYblYTdKQhjKEqB5cGCSjyrXzGVXJVzXaa89fitFczTDUZQIn4HpKfQWM8pZdA5zsvb4BmOllJm8AfRpK0zKMppHNX665WE2Si7+IVbNb7x7k2I2pYglDNq6RTGLONGOOqiSY+J41lzOMbEyWYTSNbH0hZPOLJpM2jFyuroriizubDeZhHDuTtBsTc6bXR1Q/SBLjVsswTLZk4wsh21/MjW2YzOcxKfLxc8rVY9cnjC/8KKroEq9rTeO7NuWjQfKF3biX33Lx0R6Q24+riEKUn1OuXiONfWxIlBKva1UN/CiBgqxEZEwaSkpK0lreVCoqKiguLq61rLi4mIqKiogiilaUn1OuXiPl5eVUVlZSXV1NZWVlzmcWkPy6DsoyDBO5XP1iLi8vZ/To0cRiMUSEWCyWUw+Oa2pRfk65eo3kI/91nbZ06q9ydbI2jPyXa90tTXJRfk5RdMtu7gjz8eb5wtowjDH1yYfHjEcl3cebW5WUMaZZGzVqVK3MAmDDhg2MGjUqoojyl2UYxphmbf78+WktN/WzDMMY06zlag+rfGQZhjGmWbMeVuGxDMMY06xZ9+jwWC8pY4xpoayXlDHGmKywDMMYY0wglmEYY4wJxDIMY4wxgViGYYwxJpBm0UtKRNYCX0YdRyN1Ar6NOogM5HP8Fnt08jn+5hR7TFU7B925VfjxROLLdLqG5RIRmZavsUN+x2+xRyef42/JsVuVlDHGmEAswzDGGBNIc8kwRkcdQAbyOXbI7/gt9ujkc/wtNvZm0ehtjDEm+5pLCcMYY0yWWYZhjDEmkLzPMERkiIh8KSJzROTSqONJJCIPiMhSEfnMt6yDiLwmIrO9v+295SIid3rv5VMRGRhd5CAie4jIGyIyS0Rmisjv8iV+EWkjIh+IyAwv9j97y3uKyFQvxidFpLW3fAdvfo63vjSq2ONEpFBEPhaR5735fIq9UkT+IyKfiMg0b1nOXzdePLuKyAQR+UJEPheRQ/IhdhH5nne+49MaEbko1NhVNW8noBD4CtgTaA3MAPpFHVdCjD8EBgKf+ZbdDFzqvb4UuMl7fQLwEiDAwcDUiGPvBgz0Xu8M/Bfolw/xezG09V4XAVO9mMYDw7zl9wG/8V6fD9znvR4GPJkD184fgMeA5735fIq9EuiUsCznrxsvnoeAX3mvWwO75kvsvvdQCCwGYmHGHvkby/CkHAK84pu/DLgs6riSxFmakGF8CXTzXnfD3XgI8HfgrGTb5cIEPAsMzrf4gWLgI+Ag3F2urRKvH+AV4BDvdStvO4kw5h7AJOBo4HnvnzovYvfiSJZh5Px1A+wCzE08f/kQe0K8xwHvhh17vldJdQcW+OarvGW5bjdVXeS9Xgzs5r3O2ffjVXPsj/ulnhfxe1U6nwBLgddwpdFVqrrV28QfX03s3vrVQMcmDbi224FLgGpvviP5EzuAAq+KyHQRGeEty4frpiewDHjQqw68X0R2Ij9i9xsGPO69Di32fM8w8p66rD2n+zaLSFvgn8BFqrrGvy6X41fVbapahvu1fiDQJ9qIghGRk4Clqjo96lgy8ANVHQgMBUaKyA/9K3P4ummFq0K+V1X3B9bjqnFq5HDsAHhtWycDTyWuyzT2fM8wvgH28M338JbluiUi0g3A+7vUW55z70dEinCZxThV/Ze3OG/iB1DVVcAbuGqcXUUk/gw1f3w1sXvrdwGWN22kNQ4DThaRSuAJXLXUHeRH7ACo6jfe36XA07gMOx+umyqgSlWnevMTcBlIPsQeNxT4SFWXePOhxZ7vGcaHQC+v90hrXDFsYsQxBTEROMd7fQ6ubSC+/Gyv98LBwGpfUbLJiYgAY4DPVfU236qcj19EOovIrt7rHXFtL5/jMo4zvM0SY4+/pzOAyd6vsSanqpepag9VLcVd05NVtZw8iB1ARHYSkZ3jr3H16Z+RB9eNqi4GFojI97xFxwCzyIPYfc5ie3UUhBl71I0zITTunIDrvfMVMCrqeJLE9ziwCNiC+/VyLq5+eRIwG3gd6OBtK8Dd3nv5DzAo4th/gCu+fgp84k0n5EP8wH7Ax17snwFXesv3BD4A5uCK7Dt4y9t483O89XtGfe14cR3J9l5SeRG7F+cMb5oZ/7/Mh+vGi6cMmOZdO88A7fMo9p1wpctdfMtCi90eDWKMMSaQfK+SMsYY00QswzDGGBOIZRjGGGMCsQzDGGNMIJZhGGOMCcQyDGOMMYFYhmGMMSYQyzAyJCIaYDoyYFpnisjwRsYxVrxxB9JNP8i+2RZmDCJypYh8IyLVIjI2jDRNfkvnf0tE3vT9714UchxX+9KeEGbaTaFVw5uYBhzie70jMBm4DnjBt3xWwLTOBDoBY0OJLHj61+Jiz3siMgj4M/An4E22PzfHtGzp/m+9gbuGKkOO437gZeCekNNtEpZhZEhV34+/9p7qCvCVf3muU9Wvoo4hRPEn0t6tCU/WTZeIFAKFqro587CajxZyXlZk439YVauAKhHJ6NqMilVJNSGvWPwfEdkkIgtEpCL+9FGv6uR04AhfkfVqb90hIjJRRBaJyHpxwy+Wp3nsVOnXqg6Kz4vIieKGZ90gIi+IG+pxb3HDtq73ttkvybEOF5G3vP2Wi8g/4g+jCxDnqeKGxtwoIu+ISL+gaXvv8RFv09WJ1YGpzn/C+z5VRGYCG3GDLjXqPWVyHoMcL8h1ISL7iMjLIrLC2+ZzERnpW/9mYtWIiBzpnbt9wzgv2TwPvrQHixtmdL133ezj34Z6rv2gRKSTt9+xCcv/KiJTffMpz3e+sxJGExGR44AngYeBi3EPx7sW92Cw87zXJbjhIM/3dqvy/saAd3HDcm7EPf76QRGpVlX/UylTSZV+MiXANcDluBHr/gaMxo0e+A/csI83AE+IyD4af5qZyGG4B5w9g3tyakfgRtwD3M4gtRhwG3AF8B2uaukVEemlqhsDpH0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    Mon Jun 06 18:03:57 2022 東京 (標準時)
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" \n", - " \n", + " \n", + " \n", " \n", " \n", "\n" ], "text/plain": [ - "
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    " ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1485,7 +1502,7 @@ "$$\n", "\\hat{H} = \\hat{H}_0 + \\hat{H}_d.\n", "$$\n", - "Treating the transmon as a qubit allows us to use the Pauli raising/lowering operators $\\sigma^\\pm = (1/2)(\\sigma^x \\mp i\\sigma^y)$ that have the effect $\\sigma^+ |0\\rangle = |1\\rangle$ and $\\sigma^+ |1\\rangle = |0\\rangle$. (Note that this definition reflects that we are using *qubit* raising/lower operators instead of those for *spin*. For the reason discussed in [Section 1](#mlqsaq), $|0\\rangle \\equiv |\\uparrow\\rangle$ and $|1\\rangle \\equiv |\\downarrow \\rangle$ so the raising and lowering operators are inverted). Now since the field will excite and de-excite the qubit, we define the dipole operator $\\vec{d} = \\vec{d}_0 \\sigma^+ + \\vec{d}_0^* \\sigma^-$. The drive Hamiltonian from the dipole interaction is then\n", + "Treating the transmon as a qubit allows us to use the Pauli raising/lowering operators $\\sigma^\\pm = (1/2)(\\sigma^x \\mp i\\sigma^y)$ that have the effect $\\sigma^+ |0\\rangle = |1\\rangle$ and $\\sigma^- |1\\rangle = |0\\rangle$. (Note that this definition reflects that we are using *qubit* raising/lower operators instead of those for *spin*. For the reason discussed in [Section 1](#mlqsaq), $|0\\rangle \\equiv |\\uparrow\\rangle$ and $|1\\rangle \\equiv |\\downarrow \\rangle$ so the raising and lowering operators are inverted). Now since the field will excite and de-excite the qubit, we define the dipole operator $\\vec{d} = \\vec{d}_0 \\sigma^+ + \\vec{d}_0^* \\sigma^-$. The drive Hamiltonian from the dipole interaction is then\n", "$$\n", "\\hat{H}_d = -\\vec{d} \\cdot \\vec{E}(t) = -\\left(\\vec{d}_0 \\sigma^+ + \\vec{d}_0^* \\sigma^-\\right) \\cdot \\left(\\vec{E}_0 e^{-i\\omega_d t} + \\vec{E}_0^* e^{i\\omega_d t}\\right) \\\\\n", "= -\\left(\\vec{d}_0 \\cdot \\vec{E}_0 e^{-i\\omega_d t} + \\vec{d}_0 \\cdot \\vec{E}_0^* e^{i\\omega_d t}\\right)\\sigma^+\n", @@ -1561,7 +1578,12 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.7" + "version": "3.8.13" + }, + "vscode": { + "interpreter": { + "hash": "7e1998ff7f8aa20ada591c520b972326324e5ea05489af9e422744c7c09f6dad" + } } }, "nbformat": 4, diff --git a/content/ch-states/representing-qubit-states.ipynb b/content/ch-states/representing-qubit-states.ipynb index adbdfac06..9a559aea3 100644 --- a/content/ch-states/representing-qubit-states.ipynb +++ b/content/ch-states/representing-qubit-states.ipynb @@ -152,7 +152,8 @@ "source": [ "from qiskit import QuantumCircuit, assemble, Aer\n", "from qiskit.visualization import plot_histogram, plot_bloch_vector\n", - "from math import sqrt, pi" + "from math import sqrt, pi\n", + "from qiskit_aer import Aer" ] }, { diff --git a/content/ch-states/single-qubit-gates.ipynb b/content/ch-states/single-qubit-gates.ipynb index db28800bd..d590097cf 100644 --- a/content/ch-states/single-qubit-gates.ipynb +++ b/content/ch-states/single-qubit-gates.ipynb @@ -661,7 +661,7 @@ "metadata": {}, "source": [ "### 6.3 The T-gate \n", - "The T-gate is a very commonly used gate, it is an P-gate with $\\phi = \\pi/4$:\n", + "The T-gate is a very commonly used gate, it is a P-gate with $\\phi = \\pi/4$:\n", "\n", "$$ T = \\begin{bmatrix} 1 & 0 \\\\ 0 & e^{\\frac{i\\pi}{4}} \\end{bmatrix}, \\quad T^\\dagger = \\begin{bmatrix} 1 & 0 \\\\ 0 & e^{-\\frac{i\\pi}{4}} \\end{bmatrix}$$\n", "\n", diff --git a/content/preface.ipynb b/content/preface.ipynb index 001beba8f..5352aa8aa 100644 --- a/content/preface.ipynb +++ b/content/preface.ipynb @@ -114,7 +114,7 @@ "\n", "

    Learn Quantum Computation using Qiskit is the work of several individuals. If you use it in your work, cite it using this bib file or directly as:

    \n", "

    \n", - "Amira Abbas and Stina Andersson and Abraham Asfaw and Antonio Corcoles and Luciano Bello and Yael Ben-Haim and Mehdi Bozzo-Rey and Sergey Bravyi and Nicholas Bronn and Lauren Capelluto and Almudena Carrera Vazquez and Jack Ceroni and Richard Chen and Albert Frisch and Jay Gambetta and Shelly Garion and Leron Gil and Salvador De La Puente Gonzalez and Francis Harkins and Takashi Imamichi and Pavan Jayasinha and Hwajung Kang and Amir h. Karamlou and Robert Loredo and David McKay and Alberto Maldonado and Antonio Macaluso and Antonio Mezzacapo and Zlatko Minev and Ramis Movassagh and Giacomo Nannicini and Paul Nation and Anna Phan and Marco Pistoia and Arthur Rattew and Joachim Schaefer and Javad Shabani and John Smolin and John Stenger and Kristan Temme and Madeleine Tod and Ellinor Wanzambi and Stephen Wood and James Wootton.

    " + "Amira Abbas and Stina Andersson and Abraham Asfaw and Antonio Corcoles and Luciano Bello and Yael Ben-Haim and Mehdi Bozzo-Rey and Sergey Bravyi and Nicholas Bronn and Lauren Capelluto and Almudena Carrera Vazquez and Jack Ceroni and Richard Chen and Albert Frisch and Jay Gambetta and Shelly Garion and Leron Gil and Salvador De La Puente Gonzalez and Francis Harkins and Takashi Imamichi and Pavan Jayasinha and Hwajung Kang and Amir h. Karamlou and Robert Loredo and David McKay and Alberto Maldonado and Antonio Macaluso and Antonio Mezzacapo and Zlatko Minev and Ramis Movassagh and Giacomo Nannicini and Paul Nation and Anna Phan and Marco Pistoia and Arthur Rattew and Joachim Schaefer and Diego Emilio Serrano and Javad Shabani and John Smolin and John Stenger and Kristan Temme and Madeleine Tod and Ellinor Wanzambi and Stephen Wood and James Wootton.

    " ] }, { diff --git a/content/qiskit-textbook.bib b/content/qiskit-textbook.bib index db9890cac..9c2a737a1 100644 --- a/content/qiskit-textbook.bib +++ b/content/qiskit-textbook.bib @@ -1,5 +1,5 @@ @electronic{Qiskit-Textbook, - author = {Amira Abbas and Stina Andersson and Abraham Asfaw and Antonio Corcoles and Luciano Bello and Yael Ben-Haim and Mehdi Bozzo-Rey and Sergey Bravyi and Nicholas Bronn and Lauren Capelluto and Almudena Carrera Vazquez and Jack Ceroni and Richard Chen and Albert Frisch and Jay Gambetta and Shelly Garion and Leron Gil and Salvador De La Puente Gonzalez and Francis Harkins and Takashi Imamichi and Pavan Jayasinha and Hwajung Kang and Amir h. Karamlou and Robert Loredo and David McKay and Alberto Maldonado and Antonio Macaluso and Antonio Mezzacapo and Zlatko Minev and Ramis Movassagh and Giacomo Nannicini and Paul Nation and Anna Phan and Marco Pistoia and Arthur Rattew and Joachim Schaefer and Javad Shabani and John Smolin and John Stenger and Kristan Temme and Madeleine Tod and Ellinor Wanzambi and Stephen Wood and James Wootton.}, + author = {Amira Abbas and Stina Andersson and Abraham Asfaw and Antonio Corcoles and Luciano Bello and Yael Ben-Haim and Mehdi Bozzo-Rey and Sergey Bravyi and Nicholas Bronn and Lauren Capelluto and Almudena Carrera Vazquez and Jack Ceroni and Richard Chen and Albert Frisch and Jay Gambetta and Shelly Garion and Leron Gil and Salvador De La Puente Gonzalez and Francis Harkins and Takashi Imamichi and Pavan Jayasinha and Hwajung Kang and Amir h. Karamlou and Robert Loredo and David McKay and Alberto Maldonado and Antonio Macaluso and Antonio Mezzacapo and Zlatko Minev and Ramis Movassagh and Giacomo Nannicini and Paul Nation and Anna Phan and Marco Pistoia and Arthur Rattew and Joachim Schaefer and Diego Emilio Serrano and Javad Shabani and John Smolin and John Stenger and Kristan Temme and Madeleine Tod and Ellinor Wanzambi and Stephen Wood and James Wootton.}, title = {Learn Quantum Computation Using Qiskit}, year = {2020}, url = {https://qiskit.org/textbook/}, diff --git a/deploy.sh b/deploy.sh index d0968aedf..422870f70 100755 --- a/deploy.sh +++ b/deploy.sh @@ -1,4 +1,4 @@ -#!/bin/bash +#!/usr/bin/env bash path=textbook