A Python toolkit for superconducting circuit design and simulation workflows using AWS Palace.
Project description
pyPalace
pyPalace is an open-source Python toolkit built around AWS Palace for the simulation and analysis of superconducting quantum devices. It enables users to build Palace configuration files, run simulations locally or on HPC systems, visualize computed electromagnetic fields, and extract simulation results through streamlined Python workflows.
For superconducting devices, pyPalace includes quantum analysis tools based on methods such as Lumped Oscillator Modeling (LOM) and Energy Participation Ratio (EPR), along with related techniques for extracting important physical parameters of superconducting circuits and qubits.
For questions, comments, or collaboration, contact:
firasabouzahr2030@u.northwestern.edu
Installation
Note: pyPalace requires AWS Palace to be installed separately.
For users
pip install pypalace
For developers
Clone the repository:
git clone https://github.com/FirasAbouzahr/pyPalace.git
cd pyPalace
pip install -e .
Examples
Examples can be found in the Examples directory.
- Example 00 (simulating a Quantum Metal design with pyPalace)
- Example 01 (eigenmode simulations & EPR analysis of a qubit-cavity system)
- Example 02 (electrostatic simulations & LOM analysis of Transmon qubits)
- Example 03 (driven simulation of a resonator & DCM fitting to S21)
Developer Notes
Development wishlist:
Add built-in meshing capability to pyPalace (e.g., with Gmsh or other open-source mesh generation tools).- Expanded testing and validation of less commonly used Palace features and boundary conditions.
- Expanded quantum analysis utilities.
- Additional advanced simulation and workflow examples for more complex device geometries and solver configurations.
- Improvements to usability, documentation clarity, workflow accessibility, and overall user experience.
Contributors
| Name | Institution | Contribution |
|---|---|---|
| Sara Sussman | Fermilab | Superconducting qubit expertise |
License
This project is licensed under the MIT License – see the LICENSE file for details.
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