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c3-toolset-nightly-20230126


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توضیحات

Toolset for control, calibration and characterization of physical systems
ویژگی مقدار
سیستم عامل -
نام فایل c3-toolset-nightly-20230126
نام c3-toolset-nightly
نسخه کتابخانه 20230126
نگهدارنده []
ایمیل نگهدارنده []
نویسنده q-optimize
ایمیل نویسنده c3@q-optimize.org
آدرس صفحه اصلی http://www.q-optimize.org
آدرس اینترنتی https://pypi.org/project/c3-toolset-nightly/
مجوز -
# C3 - An integrated tool-set for Control, Calibration and Characterization [![codecov](https://codecov.io/gh/q-optimize/c3/branch/dev/graph/badge.svg)](https://codecov.io/gh/q-optimize/c3) [![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/q-optimize/c3.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/q-optimize/c3/context:python) <a href="https://codeclimate.com/github/q-optimize/c3/maintainability"><img src="https://api.codeclimate.com/v1/badges/a090831b106f863dc223/maintainability" /></a> [![Build and Test](https://github.com/q-optimize/c3/actions/workflows/build_package.yml/badge.svg)](https://github.com/q-optimize/c3/actions/workflows/build_package.yml) [![Documentation Status](https://readthedocs.org/projects/c3-toolset/badge/?version=latest)](https://c3-toolset.readthedocs.io/en/latest/?badge=latest) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![PyPI version fury.io](https://badge.fury.io/py/c3-toolset.svg)](https://pypi.python.org/pypi/c3-toolset/) [![PyPI license](https://img.shields.io/pypi/l/c3-toolset.svg)](https://pypi.python.org/pypi/c3-toolset/) [![PyPI pyversions](https://img.shields.io/pypi/pyversions/c3-toolset.svg)](https://pypi.python.org/pypi/c3-toolset/) [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/q-optimize/c3/dev) 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 ``` There is no official support for `c3-toolset` on Apple Silicon devices, but you can check the [`CONTRIBUTING.md`](CONTRIBUTING.md#development-on-apple-silicon) 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](mailto://quantum.c3po@gmail.com). The paper introducing C3 as a scientific concept can be found in [Wittler2021](https://arxiv.org/abs/2009.09866). Software and implementation details are described in [SahaRoy2022](https://arxiv.org/abs/2205.04829). Documentation is available [here](https://c3-toolset.readthedocs.io) on RTD. ### Examples The following notebooks are available in the `examples/` directory and can also be run online using the `launch|binder` badge above: - [Model-based Optimal Control for Single Qubit Gate](examples/two_qubits.ipynb) - [Model-based Optimal Control for Two Qubit Engtangling Gate](examples/two_qubit_entangling_gate.ipynb) - [Model-free Calibration on Simulated Hardware](examples/Simulated_calibration.ipynb) - [Simulated Model Learning with data from Simulated Calibration](examples/Simulated_Model_Learning.ipynb) - [Full loop - Control, Calibration & Characterization](examples/Full_loop_single_qubit.ipynb) - [Minimum example for using the Qiskit interface](examples/c3_qiskit.ipynb) - [Minimum example for optimizing piece-wise constant pulses](examples/Piecewise_constant_controls.ipynb) - [Understanding the ParameterMap](examples/Parametermap.ipynb) - [Frequency Dependent Coupling](examples/frequency_dependent_coupling.ipynb) ## Contributing If you wish to contribute, please check out the issues tab and also the [CONTRIBUTING.md](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} } ```


نیازمندی

مقدار نام
>=0.11.1 adaptive
>=3.0.3 cma
>=0.3.3 gast
>=3.0.2 hjson
>=9.2.0 rich
>=1.19.5 numpy
>=1.5.2 scipy
>=2.4.1 tensorflow
>=2.4.0 tensorflow-estimator
>=0.12.1 tensorflow-probability


زبان مورد نیاز

مقدار نام
~=3.7 Python


نحوه نصب


نصب پکیج whl c3-toolset-nightly-20230126:

    pip install c3-toolset-nightly-20230126.whl


نصب پکیج tar.gz c3-toolset-nightly-20230126:

    pip install c3-toolset-nightly-20230126.tar.gz