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-20211119.tar.gz (111.5 kB view details)

Uploaded Source

Built Distribution

c3_toolset_nightly-20211119-py3-none-any.whl (105.4 kB view details)

Uploaded Python 3

File details

Details for the file c3-toolset-nightly-20211119.tar.gz.

File metadata

  • Download URL: c3-toolset-nightly-20211119.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/1.8.0 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for c3-toolset-nightly-20211119.tar.gz
Algorithm Hash digest
SHA256 1b3f9033d7bf0dc3b35b78bc3f95850c54af2ae5185d60c771e649acf6797268
MD5 09b4299cbf3d8cabd234dc59424e2108
BLAKE2b-256 2be23039de93bbbc6680b21785900c22c84b8cc2fcc75b454adf90384db7322f

See more details on using hashes here.

File details

Details for the file c3_toolset_nightly-20211119-py3-none-any.whl.

File metadata

  • Download URL: c3_toolset_nightly-20211119-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/1.8.0 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for c3_toolset_nightly-20211119-py3-none-any.whl
Algorithm Hash digest
SHA256 e9e653c15ad3303f4fa68111294fd746b70e062b59855ab5e242c4993cacc19e
MD5 6f6f1c4b3e2bef8c4a24543746b29495
BLAKE2b-256 68bc00917b2051a5df00d1b58f20d47f49ebadba4a939d493c1b669cbd3aed73

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