Skip to main content

Quantum Lumped and Transmission Resonator Analyzer

Project description

QuLTRA: Quantum hybrid Lumped and TRansmission lines circuits Analyzer

QuLTRA is an open-source Python library for the analysis of superconducting circuits that include both lumped elements (capacitors, inductors, Josephson junctions, resistors) and distributed components (such as coplanar waveguides and CPW couplers).

The library provides tools to compute:

-Eigenfrequencies of the circuit modes,

-Dissipation rates, including coupling to external lines,

-The cross-Kerr matrix, describing the nonlinear interactions between modes.

QuLTRA is designed to support fast, layout-independent modeling in the early design stages, before full electromagnetic simulations.

Installation

You can install QuLTRA directly from PyPI using pip:

pip install qultra

For more details, visit the PyPI project page: https://pypi.org/project/qultra/

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

qultra-0.1.1.tar.gz (15.0 kB view details)

Uploaded Source

Built Distribution

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

qultra-0.1.1-py3-none-any.whl (14.8 kB view details)

Uploaded Python 3

File details

Details for the file qultra-0.1.1.tar.gz.

File metadata

  • Download URL: qultra-0.1.1.tar.gz
  • Upload date:
  • Size: 15.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for qultra-0.1.1.tar.gz
Algorithm Hash digest
SHA256 56975caccc1c4be2cbc9e7c57b9e06e4f7bc0b1e86707f9eb1ded006081f20da
MD5 9737780abd8c84f1d4c917e208b36105
BLAKE2b-256 b1d715ddcda4374c189f699fb118b672b0e71b940071fe586c4a10b893e713bf

See more details on using hashes here.

File details

Details for the file qultra-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: qultra-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 14.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for qultra-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9155ddff85f4f18bce9d3c79e5907700d3ea8a8f9739f27c3f819e33640ebc90
MD5 2061691f7227ed5c6fee072cb541ca55
BLAKE2b-256 d4e0baedb9a647b9101c2cf43cd2630bc2aa7fc936205e944619151d3524e246

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