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-20220526.tar.gz (119.4 kB view details)

Uploaded Source

Built Distribution

c3_toolset_nightly-20220526-py3-none-any.whl (112.8 kB view details)

Uploaded Python 3

File details

Details for the file c3-toolset-nightly-20220526.tar.gz.

File metadata

  • Download URL: c3-toolset-nightly-20220526.tar.gz
  • Upload date:
  • Size: 119.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.13

File hashes

Hashes for c3-toolset-nightly-20220526.tar.gz
Algorithm Hash digest
SHA256 7022cd490050de4caad1067fb7e36cae61396d2e5be415ea570018413253518e
MD5 53373fb7fe25031701494919b40b7cd2
BLAKE2b-256 6461cd1b06e659ef9489f5f5a5002c9f685add52867857124c83274394f902fd

See more details on using hashes here.

File details

Details for the file c3_toolset_nightly-20220526-py3-none-any.whl.

File metadata

File hashes

Hashes for c3_toolset_nightly-20220526-py3-none-any.whl
Algorithm Hash digest
SHA256 8c5824070301f43c0d695272ed9e705632e1feeaf4075f0f425add92a2f6e8ca
MD5 db953aca5c9bd365f279e698ba1b5e57
BLAKE2b-256 64040cb8137d0665b181144a890120045a269c2bf2e17ba9fc4311a137d5e883

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