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

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 concept can be found on the arxiv.

Documentation is available here on RTD.

Examples are available in the examples/ directory and can also be run online using the launch|binder badge above.

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-20211126.tar.gz (111.6 kB view details)

Uploaded Source

Built Distribution

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

c3_toolset_nightly-20211126-py3-none-any.whl (105.4 kB view details)

Uploaded Python 3

File details

Details for the file c3-toolset-nightly-20211126.tar.gz.

File metadata

  • Download URL: c3-toolset-nightly-20211126.tar.gz
  • Upload date:
  • Size: 111.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for c3-toolset-nightly-20211126.tar.gz
Algorithm Hash digest
SHA256 237d812a94be14adac452b70809e494b871a2c8e6851cde29e0c328d0e6e7be3
MD5 3cca16712fadea5036bfdeddb49fd67c
BLAKE2b-256 725035646bc85f82dedc5542f1092c29ba8731014b3090a04574a02f90ab5705

See more details on using hashes here.

File details

Details for the file c3_toolset_nightly-20211126-py3-none-any.whl.

File metadata

  • Download URL: c3_toolset_nightly-20211126-py3-none-any.whl
  • Upload date:
  • Size: 105.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for c3_toolset_nightly-20211126-py3-none-any.whl
Algorithm Hash digest
SHA256 74c7ed4b4e16f7698fb8f316b22edeb83e0676f9e8e1aa22bd91de4120828c69
MD5 dcea241cdd4c3a9d6779958bd27884d2
BLAKE2b-256 7fc205e79fb508d65fabff221bc025711ffb7647882c177b959a8a00ee99e36a

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