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-20220715.tar.gz (119.1 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-20220715-py3-none-any.whl (111.9 kB view details)

Uploaded Python 3

File details

Details for the file c3-toolset-nightly-20220715.tar.gz.

File metadata

  • Download URL: c3-toolset-nightly-20220715.tar.gz
  • Upload date:
  • Size: 119.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for c3-toolset-nightly-20220715.tar.gz
Algorithm Hash digest
SHA256 f15ec0acd3a2a7a9417e414569386f564f63ce4baa5166830ebece6c6216694e
MD5 0fecd181b9e78970386a34a0bfc56e5f
BLAKE2b-256 a200544dfb884b5a3d2b23fb14085d3b4adf3e322dd9594ef2670c2b7eaee8fb

See more details on using hashes here.

File details

Details for the file c3_toolset_nightly-20220715-py3-none-any.whl.

File metadata

File hashes

Hashes for c3_toolset_nightly-20220715-py3-none-any.whl
Algorithm Hash digest
SHA256 cb1b8cc3d17b3c3020a3ee75b02f46a679a81c094b5edb9f7dc3c9f2f7bb4b3c
MD5 7831afd5792971a39c10790dd9e2b1e6
BLAKE2b-256 d908b0b542ce2cf79d9c649be12acf96cf98efb0902398ea9ccd31eb82d6571c

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