C3 - An integrated tool-set for Control, Calibration and Characterization
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}
}
1 maintainer
Metadata
1 maintainer
Release files for c3-toolset-nightly 20220401
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| c3-toolset-nightly-20220401.tar.gz | 116.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| c3_toolset_nightly-20220401-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 227.5 kB
Release files / c3-toolset-nightly-20220401.tar.gz
| Download URL | c3-toolset-nightly-20220401.tar.gz |
|---|---|
| Size | 116.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9adc36cb00fa3625bfd12a6ec363a119782f88b1fa3c2ab0044a756e21f8b42c
|
|
BLAKE2b-256 checksum How to use checksums |
4a8e01310dc175703484868e766c5dacc65a66261464c9035483beb2f41e57e8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.12
|
Release files / c3_toolset_nightly-20220401-py3-none-any.whl
| Download URL | c3_toolset_nightly-20220401-py3-none-any.whl |
|---|---|
| Size | 111.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c0a3e3fa0ae58d18cb07fdbf6c8e87e27a8c772d62be1727cac94db0033e5019
|
|
BLAKE2b-256 checksum How to use checksums |
c782a8c49c4a978ad696119cf0aa9dc1f5e99801c66c759fb0d2f030862a4357
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.12
|
