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-toolsetIf you want to try out the bleeding edge (possibly buggy) version under development:
pip install c3-toolset-nightlyC3 provides a simple Python API through which it may integrate with virtually any experimental setup. Contact us at [email protected].
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.
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}
}