Skip to main content

Toolset for control, calibration and characterization of physical systems

Project description

C3 - An integrated tool-set for Control, Calibration and Characterization

codecov Language grade: Python Build and Test Documentation Status Code style: black PyPI version fury.io PyPI license PyPI pyversions Binder

The C3 package is intended to close the loop between open-loop control optimization, control pulse calibration, and model-matching based on calibration data.

Installation

pip install c3-toolset

If you want to try out the bleeding edge (possibly buggy) version under development:

pip install c3-toolset-nightly

There is no official support for c3-toolset on Apple Silicon devices, but you can check the CONTRIBUTING.md for instructions on setting up an experimental version.

Usage

C3 provides a simple Python API through which it may integrate with virtually any experimental setup. Contact us at c3@q-optimize.org.

The paper introducing C3 as a scientific concept can be found in Wittler2021. Software and implementation details are described in SahaRoy2022.

Documentation is available here on RTD.

Examples

The following notebooks are available in the examples/ directory and can also be run online using the launch|binder badge above:

Contributing

If you wish to contribute, please check out the issues tab and also the CONTRIBUTING.md for useful resources.

The source code is available on Github at https://github.com/q-optimize/c3.

Citation

If you use c3-toolset in your research, please cite it as below:

@article{Wittler2021,
   title={Integrated Tool Set for Control, Calibration, and Characterization of Quantum Devices Applied to Superconducting Qubits},
   volume={15},
   DOI={10.1103/physrevapplied.15.034080},
   number={3},
   journal={Physical Review Applied},
   author={Wittler, Nicolas and Roy, Federico and Pack, Kevin and Werninghaus, Max and Saha Roy, Anurag and Egger, Daniel J. and Filipp, Stefan and Wilhelm, Frank K. and Machnes, Shai},
   year={2021},
   month={Mar}
}

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

c3-toolset-nightly-20221221.tar.gz (126.1 kB view details)

Uploaded Source

Built Distribution

c3_toolset_nightly-20221221-py3-none-any.whl (116.6 kB view details)

Uploaded Python 3

File details

Details for the file c3-toolset-nightly-20221221.tar.gz.

File metadata

  • Download URL: c3-toolset-nightly-20221221.tar.gz
  • Upload date:
  • Size: 126.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for c3-toolset-nightly-20221221.tar.gz
Algorithm Hash digest
SHA256 87520878448f62fa3e47ae1b704d6489d5e79ed4019aa90d8ef08b1336de8ce6
MD5 52a2ebcaa4e4b075f0cabbd437ca2b27
BLAKE2b-256 b33e4a6659628e6d4b6a01fb373e5c1a165c8f5529a785893a48e9c5b5d9c6bd

See more details on using hashes here.

File details

Details for the file c3_toolset_nightly-20221221-py3-none-any.whl.

File metadata

File hashes

Hashes for c3_toolset_nightly-20221221-py3-none-any.whl
Algorithm Hash digest
SHA256 07687866496c3109bafed69a944d609788f42d8587bc54089628f141a16415bd
MD5 b4c166716e46521e1765cac5dfda56cc
BLAKE2b-256 2921d7223f160c9da617610107a53cfbd006f23813d5a5c114733bffc51f7dee

See more details on using hashes here.

Supported by

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