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Toolset for control, calibration and characterization of physical systems
The C3 package is intended to close the loop between open-loop control optimization, control pulse calibration, and model-matching based on calibration data.
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.
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.
The following notebooks 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.
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}
}
FAQs
Toolset for control, calibration and characterization of physical systems
We found that c3-toolset-nightly demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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