KLayout Python library for integrated quantum circuit design.
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Updated
May 3, 2024 - Python
KLayout Python library for integrated quantum circuit design.
Interactive Parameter Fitting for Superconducting Circuits
Parameterized verification framework (PCells, DRC, LVS) for Superconducting and Quantum Electronics.
Simulate realistic quantum control sequences using QuTiP
This program is designed to analyze Scanning Electron Microscope (SEM) images, specifically images of superconducting quantum devices. It uses the Segment Anything library from Meta to identify and segment objects in the image.
This is a collection of my book reading notes. Notes taken while reading thesis/review might also be included.
Design an OCS qubit with certain properties for fabrication through Lincoln Lab, MIT.
Design an OCS qubit with certain properties for fabrication through Lincoln Lab, MIT.
💥 Helper library to conveniently run, save and analyze quantum experiments on QuTech's Quantum Inspire
Tools to aid in simulating and fabricating superconducting quantum devices
Image Analysis Program for Scanning Electron Microscopy (SEM) Pictures of Nano-bridge Resonator Devices (NBR)
Diagonalizing the Jaynes-Cummings ladder for cQED measurement of superconducting qubits
Simulates the behavior of non-thermal equilibrium populations of quasiparticles across a nano-wire bridge Josephson Junction resonator
Using Qiskit Metal to simulate Hamiltonian parameters from a Transmon coupled to readout cavity.
Quantum Bayesian approach to circuit QED measurement with moderate bandwidth
This is a repository for the computational exercises for the first iteration of the course in superconducting qubits offered at the Niels Bohr Institute.
Improving system security using neural networks
Project to simulate the interaction between two coupled qubits and study the interaction of non-computational levels using QuTiP.
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