KLayout Python library for integrated quantum circuit design.
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Updated
Jan 22, 2026 - Python
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
quantum circuit systems
Parameterized verification framework (PCells, DRC, LVS) for Superconducting and Quantum Electronics.
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.
Sample PDK for Superconducting RF Quantum Circuits
Simulate realistic quantum control sequences using QuTiP
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 branch-transfer coherence-witness experiments executed on superconducting quantum hardware.
Using Qiskit Metal to simulate Hamiltonian parameters from a Transmon coupled to readout cavity.
Diagonalizing the Jaynes-Cummings ladder for cQED measurement of superconducting qubits
💥 Helper library to conveniently run, save and analyze quantum experiments on QuTech's Quantum Inspire
QuLTRA: Quantum Lumped and Trasmission Resonator Analyzer
This is a repository for the computational exercises for the first iteration of the course in superconducting qubits offered at the Niels Bohr Institute.
A webapp for monitoring oxford and bluefors dilution fridges
CPW resonator fitting in Python: extract Qint and Δf/f0, plot TLS/qp loss channels, save best-fit params; includes examples and PNG outputs.
Open-source tool that optimizes qubit ancillary control layouts using SciPy.
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