Python framework for designing & analyzing superconducting quantum chips. Lite-by-default, headless-friendly, EDA-grade.
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Updated
Jun 18, 2026 - Jupyter Notebook
Python framework for designing & analyzing superconducting quantum chips. Lite-by-default, headless-friendly, EDA-grade.
KLayout Python library for integrated quantum circuit design.
A validated design database and simulation workflow software for superconducting quantum hardware
Tools to aid in simulating and fabricating superconducting quantum devices
Interactive Parameter Fitting for Superconducting Circuits
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.
quantum circuit systems
Parameterized verification framework (PCells, DRC, LVS) for Superconducting and Quantum Electronics.
Simulate realistic quantum control sequences using QuTiP
A superconducting circuit modeling tool built around AWS Palace
QuLTRA: Quantum Lumped and Trasmission Resonator Analyzer
This is a collection of my book reading notes. Notes taken while reading thesis/review might also be included.
Image Analysis Program for Scanning Electron Microscopy (SEM) Pictures of Nano-bridge Resonator Devices (NBR)
Quantum kernel estimation with backend-matched IBM noise modeling, plus reproducible “Wigner’s friend” branch-transfer coherence-witness experiments executed on superconducting quantum hardware.
This is a repository for the computational exercises for the first iteration of the course in superconducting qubits offered at the Niels Bohr Institute.
Diagonalizing the Jaynes-Cummings ladder for cQED measurement of superconducting qubits
Using Qiskit Metal to simulate Hamiltonian parameters from a Transmon coupled to readout cavity.
💥 Helper library to conveniently run, save and analyze quantum experiments on QuTech's Quantum Inspire
A webapp for monitoring oxford and bluefors dilution fridges
A cinematic browser experience that makes quantum computing visible through generative world models, AWS Braket device metrics, and a guided four-step exploration of trapped-ion, superconducting, and neutral-atom architectures.
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