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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file c3-toolset-nightly-20220124.tar.gz.
File metadata
- Download URL: c3-toolset-nightly-20220124.tar.gz
- Upload date:
- Size: 117.8 kB
- Tags: Source
- Uploaded using 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
93373ce56964127e5e1c495ddb91cba1a8d3a5106be8f7843f3a4176c258d8b7
|
|
| MD5 |
c201de6c0d6771dea3c539b83a475f60
|
|
| BLAKE2b-256 |
9ad600387a7006ef78198a8be236322f9a2afb44d7b52c4e3c8d3db5a32416a4
|
File details
Details for the file c3_toolset_nightly-20220124-py3-none-any.whl.
File metadata
- Download URL: c3_toolset_nightly-20220124-py3-none-any.whl
- Upload date:
- Size: 110.2 kB
- Tags: Python 3
- Uploaded using 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b872e28ebfd0addfef5b994c61630c43a41a2277b133ec97eb47bc3cbb959fc4
|
|
| MD5 |
6bc8c89d2931be9799eb0f644c890047
|
|
| BLAKE2b-256 |
45338e010baf26b5625bd842ba46ef852b653d1adc16db19055aa82219c6a0fb
|
