Skip to main content

A Python toolkit for superconducting circuit design and simulation workflows using AWS Palace.

Project description

pyPalace

Documentation Status PyPI version

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pypalace-0.1.2.tar.gz (23.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pypalace-0.1.2-py3-none-any.whl (24.3 kB view details)

Uploaded Python 3

File details

Details for the file pypalace-0.1.2.tar.gz.

File metadata

  • Download URL: pypalace-0.1.2.tar.gz
  • Upload date:
  • Size: 23.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.0

File hashes

Hashes for pypalace-0.1.2.tar.gz
Algorithm Hash digest
SHA256 0e514cef6b246785775e623addb47c17668546ec5791e8e919d2a025e7100ae2
MD5 b070546dc10c196f0bd3596c035a5a2b
BLAKE2b-256 a20a8f3cb5f7b93198048c781d17edb33dcccb3a83d60aab6e267cf632976a04

See more details on using hashes here.

File details

Details for the file pypalace-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: pypalace-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 24.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.0

File hashes

Hashes for pypalace-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 f6be512784e9f43391dd0e12659385eafedb4d22c820f84cd50340f88382e402
MD5 e94cdb435b33527ef794a14cf8afa3ee
BLAKE2b-256 d40d3e3f662897d9e01d65f3631d76e53c16ce35015b01fb3d8f81b47000a1c4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page