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-20211124.tar.gz (111.6 kB view details)

Uploaded Source

Built Distribution

c3_toolset_nightly-20211124-py3-none-any.whl (105.4 kB view details)

Uploaded Python 3

File details

Details for the file c3-toolset-nightly-20211124.tar.gz.

File metadata

  • Download URL: c3-toolset-nightly-20211124.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/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for c3-toolset-nightly-20211124.tar.gz
Algorithm Hash digest
SHA256 4713cafe2c76ad5ff304b11867282b0818487b7045525d20f486431f3574d57f
MD5 f6ff1eed90fb53dc7e2d671b50412314
BLAKE2b-256 4c4dc6c0891cf4dd1a20fe830963da80ca5030dc3509d1455b8b5e1706004c94

See more details on using hashes here.

File details

Details for the file c3_toolset_nightly-20211124-py3-none-any.whl.

File metadata

  • Download URL: c3_toolset_nightly-20211124-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/1.8.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for c3_toolset_nightly-20211124-py3-none-any.whl
Algorithm Hash digest
SHA256 2e88656afba7eb77b1f77abe9ae7ee34121563befb3b152a31257d2c63312db3
MD5 9787c3075d5b6c02b72fbf1c0cfa25b0
BLAKE2b-256 278d4ab005de0147cd2b8195a280ace9cd3aa62b2f44f0500dc1aba7231f55c0

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