KLayout Python library for integrated quantum circuit design.
- Updated
Nov 17, 2025 - Python
KLayout Python library for integrated quantum circuit design.
Interactive Parameter Fitting for Superconducting Circuits
Tools to aid in simulating and fabricating superconducting quantum devices
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.
Parameterized verification framework (PCells, DRC, LVS) for Superconducting and Quantum Electronics.
Simulate realistic quantum control sequences using QuTiP
Sample PDK for Superconducting RF Quantum Circuits
A webapp for monitoring oxford and bluefors dilution fridges
The code for arXiv: utilizing a MECA500 robot arm for developing resist.
Open-source tool that optimizes qubit ancillary control layouts using SciPy.
SNN Control System for Superconducting Transmon Qubits
The codebase for the Superconducting Quantum Information Laboratory in EPFL
Python tools for pulse generation, data acquisition, experiment automation, result analysis and computational modeling.
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