Skip to main content

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}
}

Metadata

Release files for c3-toolset-nightly 20221206

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for c3-toolset-nightly 20221206
File Size Uploaded Provenance Actions
c3-toolset-nightly-20221206.tar.gz 126.1 kB Without provenance Details for c3-toolset-nightly-20221206.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for c3-toolset-nightly 20221206
File Interpreter ABI Platform Actions
c3_toolset_nightly-20221206-py3-none-any.whl Python 3 none any Details for c3_toolset_nightly-20221206-py3-none-any.whl

Total release size: 242.7 kB

Release files / c3-toolset-nightly-20221206.tar.gz

Download URL c3-toolset-nightly-20221206.tar.gz
Size 126.1 kB
Tags Source
SHA-256 checksum
How to use checksums
d83677951fcf4e583815346fa13472c314acb37181aa5558d56c731c5df71718
BLAKE2b-256 checksum
How to use checksums
451df2dd0e06b6975d74c631d8c44da58a86ec47f662fa541ab17884dc5ae356
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.15

Release files / c3_toolset_nightly-20221206-py3-none-any.whl

Download URL c3_toolset_nightly-20221206-py3-none-any.whl
Size 116.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
90904c3490163ea8434509bf85aa7a1bdb5d5b8a48f3752da55e9ba04bc761e6
BLAKE2b-256 checksum
How to use checksums
688015eeacac2b72a17239e35913555c1cca875adff0609a408b29e762d79940
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.15

Security for c3-toolset-nightly 20221206

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

20221206 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page