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-20230117.tar.gz (126.1 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-20230117-py3-none-any.whl (116.6 kB view details)

Uploaded Python 3

File details

Details for the file c3-toolset-nightly-20230117.tar.gz.

File metadata

  • Download URL: c3-toolset-nightly-20230117.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-20230117.tar.gz
Algorithm Hash digest
SHA256 5fb35e402dedb6ae394e000c4e29865bb3d2941c6009a06386ee0aeaab2b28e0
MD5 a4e617cb3984f290bed8313494ae987d
BLAKE2b-256 b50eaa7af0a01317e5544b2de3ecb1b5e435b977ac24fcac278f31616079f7f6

See more details on using hashes here.

File details

Details for the file c3_toolset_nightly-20230117-py3-none-any.whl.

File metadata

File hashes

Hashes for c3_toolset_nightly-20230117-py3-none-any.whl
Algorithm Hash digest
SHA256 841e106c137004e0dbf0c5670bc8654f7878bdc3aa59274a51fb9657c1e1d041
MD5 aeff5c30d82f412c105451d00bffc920
BLAKE2b-256 fc50fba0d3bfd9203c20abd6762fb21dc8770e9efe3460ca216731c2fdca483c

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