I am a research scientist working at the intersection of superconducting quantum circuits, hybrid quantum devices, quantum information, and scientific computing.
I use this space to share research-oriented tools, simulations, and utilities that support workflows in quantum computing and superconducting circuit design.
- Hybrid and superconducting quantum circuits
- Quantum information and quantum computing
- Circuit simulation, modeling, and analysis tools
- Quantum hardware design workflows
- Layout, CAD, and automation utilities for research
- sccircuits - Python package for superconducting quantum circuit analysis, including Black Box Quantization and circuit parameter fitting.
- cqedraw - Browser and desktop GUI for drawing superconducting circuit graphs and generating matrix snippets for Black Box Quantization workflows.
- HybridSuperQubits - Python framework for simulating hybrid semiconductor-superconductor quantum circuits.
- klayout-duplication-cleaner - Scripts for detecting and removing duplicate shapes in KLayout layouts.
Python 路 Jupyter 路 scientific computing 路 quantum information 路 superconducting qubits 路 hybrid quantum circuits 路 KLayout 路 CAD and simulation workflows


