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}
}

Release files for c3-toolset-nightly 20230126

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 20230126
File Size Uploaded
c3-toolset-nightly-20230126.tar.gz 126.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for c3-toolset-nightly 20230126
File Interpreter ABI Platform
c3_toolset_nightly-20230126-py3-none-any.whl Python 3 none any Details

Total release size: 242.7 kB

Release files / c3-toolset-nightly-20230126.tar.gz

Download URL c3-toolset-nightly-20230126.tar.gz
Size 126.1 kB
Tags Source
SHA-256 checksum
How to use checksums
1189b068af9d594b658f83c95a4a7cf7b63f83798c028d5824df44bd9dd7843f
BLAKE2b-256 checksum
How to use checksums
b19c0495d455ca068dba9372288fe88dbfeef9e876f092e9e50f894c01051126
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.16

Release files / c3_toolset_nightly-20230126-py3-none-any.whl

Download URL c3_toolset_nightly-20230126-py3-none-any.whl
Size 116.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d16e503f70cfc82d319ae61bd28778da03e3b6b53a69a2546a8028f72b2a01d5
BLAKE2b-256 checksum
How to use checksums
ea4cf9f17b76f573ef0caf927bf5b05e0e4338d334f3fa5ce237fd6f2620238c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.16

Release history Release notifications | RSS feed

This release

20230126 This release

2 release files

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