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-20211116.tar.gz (111.6 kB view details)

Uploaded Source

Built Distribution

c3_toolset_nightly-20211116-py3-none-any.whl (105.4 kB view details)

Uploaded Python 3

File details

Details for the file c3-toolset-nightly-20211116.tar.gz.

File metadata

  • Download URL: c3-toolset-nightly-20211116.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/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.8

File hashes

Hashes for c3-toolset-nightly-20211116.tar.gz
Algorithm Hash digest
SHA256 c5c968f926151d03cec8f6c9f77f17479cd1695afe0c238ea08b0172487a15fd
MD5 f3c8f0e56a1ee4014de6209adb70142f
BLAKE2b-256 809b81bf403580f288ecd6cfafe17769fcb801ff2512a6aa45560c2d893dbd17

See more details on using hashes here.

File details

Details for the file c3_toolset_nightly-20211116-py3-none-any.whl.

File metadata

  • Download URL: c3_toolset_nightly-20211116-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/3.9.8

File hashes

Hashes for c3_toolset_nightly-20211116-py3-none-any.whl
Algorithm Hash digest
SHA256 2fd80c2e0d981de6bf2196bbceac48e7140ad6eb81bd641c712411b31b167afb
MD5 b0c9bbf0e8ad83cb8223bb94be5b8ca7
BLAKE2b-256 ff402f576edecf86fb455b8cc03e202d19ff18e84657b7909f297b7497e20635

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