KLayout Python library for integrated quantum circuit design.
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Updated
Jun 4, 2024 - Python
KLayout Python library for integrated quantum circuit design.
Tools to aid in simulating and fabricating superconducting quantum devices
quantum circuit systems
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.
Interactive Parameter Fitting for Superconducting Circuits
Project to simulate the interaction between two coupled qubits and study the interaction of non-computational levels using QuTiP.
Improving system security using neural networks
Testing Niobium Josephson Junctions
Using Qiskit Metal to simulate Hamiltonian parameters from a Transmon coupled to readout cavity.
Image Analysis Program for Scanning Electron Microscopy (SEM) Pictures of Nano-bridge Resonator Devices (NBR)
This is a repository for the computational exercises for the first iteration of the course in superconducting qubits offered at the Niels Bohr Institute.
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
Simulate realistic quantum control sequences using QuTiP
Womanium Quantum Hackathon 2022
Simulates the behavior of non-thermal equilibrium populations of quasiparticles across a nano-wire bridge Josephson Junction resonator
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