semvec/pypi-packages huggingface dataset:
c3-toolset 1.4
Toolset for control, calibration and characterization of physical systems
Requires Python: ~=3.7

# C3 - An integrated tool-set for Control, Calibration and Characterization

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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

```bash
pip install c3-toolset
```

If you want to try out the bleeding edge (possibly buggy) version under development:

```bash
pip install c3-toolset-nightly
```

## Usage

C3  provides a simple Python API through which it may integrate with virtually any experimental setup.
Contact us at [c3@q-optimize.org](mailto://quantum.c3po@gmail.com).

The paper introducing C3 as a concept can be found on the [arxiv](https://arxiv.org/abs/2009.09866).

Documentation is available [here](https://c3-toolset.readthedocs.io) 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](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}
}
```