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 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}
}

Metadata

Release files for c3-toolset-nightly 20220129

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 20220129
File Size Uploaded
c3-toolset-nightly-20220129.tar.gz 117.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for c3-toolset-nightly 20220129
File Interpreter ABI Platform
c3_toolset_nightly-20220129-py3-none-any.whl Python 3 none any Details

Total release size: 228.0 kB

Release files / c3-toolset-nightly-20220129.tar.gz

Download URL c3-toolset-nightly-20220129.tar.gz
Size 117.8 kB
Tags Source
SHA-256 checksum
How to use checksums
691f0fdb81803ed7ef96323dcb658a4cc17c2b8313278a6f9d4fce66b1db5bc5
BLAKE2b-256 checksum
How to use checksums
47d07a35718fff42cba3d4636cba484e6fe9ba72239a2a6a905b790365efc85f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

Release files / c3_toolset_nightly-20220129-py3-none-any.whl

Download URL c3_toolset_nightly-20220129-py3-none-any.whl
Size 110.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a620cfa71bf35a1df349085a0c60995ceb3a551cf677a12e2b1baa8248c01ce9
BLAKE2b-256 checksum
How to use checksums
398b5f389c99272ba3980cf9f2c557780f76e1ba5cf4d3384b24ce953bb571ee
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

Release history Release notifications | RSS feed

This release

20220129 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