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-20211118.tar.gz (111.5 kB view details)

Uploaded Source

Built Distribution

c3_toolset_nightly-20211118-py3-none-any.whl (105.4 kB view details)

Uploaded Python 3

File details

Details for the file c3-toolset-nightly-20211118.tar.gz.

File metadata

  • Download URL: c3-toolset-nightly-20211118.tar.gz
  • Upload date:
  • Size: 111.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for c3-toolset-nightly-20211118.tar.gz
Algorithm Hash digest
SHA256 7bb24f1a52021c59891720c356063fcfa5f48c3856c6fc100617441850fb104d
MD5 67c9aa0124f95714277241f4f6b0d24a
BLAKE2b-256 b2a50e934721110f265c3824e4503943b8a5a503342fc74fff4b6917c4be5420

See more details on using hashes here.

File details

Details for the file c3_toolset_nightly-20211118-py3-none-any.whl.

File metadata

  • Download URL: c3_toolset_nightly-20211118-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/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for c3_toolset_nightly-20211118-py3-none-any.whl
Algorithm Hash digest
SHA256 e9c0f70d88e490305e8382bd938409ad3e197ec42ff55c5f371c94df9120677d
MD5 7380fbc9f14117f388bbeffe3b656703
BLAKE2b-256 28538a9db3a35077775935537c7216aafa1af5fdd6e729c4d4e2508767b69c3e

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