The details about the implementation of the density matrix simulator is given in the arxiv
paper 1908.05154.
The files in this repository can be downloaded/cloned using the command
git clone https://github.com/indian-institute-of-science-qc/qiskit-aakash.git
Optional : We advise you to use a virtual environment to install the files. Virtual environment can be created using
conda
.conda create -n name_of_the_env python=3See this for instruction to install
conda
into your system.You can activate/deactivate the virtual environment.
conda activate name_of_the_env conda deactivateOnce you have activated the virtual environment follow the instruction below
Go to the cloned folder
cd qiskit-aakash
To install the folder type in the terminal
pip install -e .
If you want to use it in
Google Colab
(easier and convenient but only works online)then the same commands will work!git clone https://github.com/indian-institute-of-science-qc/qiskit-aakash.git %cd qiskit-aakash !pip install -e .
The code for the new back-end dm_simulator
can be found in dm_simulator.py
.
This back-end also uses some functionalities from basicaertools.py
.
Once installed, files can be changed and run in python. For example,
python3
>>> from qiskit import QuantumCircuit,BasicAer,execute
>>> qc = QuantumCircuit(2)
>>> # Gates
>>> qc.x(1)
>>> qc.cx(0,1)
>>> # execution
>>> backend = BasicAer.get_backend('dm_simulator')
>>> run = execute(qc,backend)
>>> result = run.result()
>>> print(result['results'][0]['data']['densitymatrix'])
It would output the resultant densitymatrix
as,
[[0 0 0 0]
[0 1 0 0]
[0 0 0 0]
[0 0 0 0]]
There are some jupyter
notebooks in the repository which provide detailed examples about how to use this simulator.
Those can be viewed in Github
. But the easiest way to interact with them is by using Binder Image
.