Metadata-Version: 1.2
Name: PennyLane-Cirq
Version: 0.1.0
Summary: PennyLane plugin for Cirq
Home-page: http://xanadu.ai
Maintainer: Xanadu Inc.
Maintainer-email: software@xanadu.ai
License: Apache License 2.0
Description: PennyLane Cirq Plugin
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        .. image:: https://img.shields.io/travis/com/XanaduAI/pennylane-cirq/master.svg
            :alt: Travis
            :target: https://travis-ci.com/XanaduAI/pennylane-cirq
        
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            :alt: Codecov coverage
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            :alt: Codacy grade
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        .. image:: https://img.shields.io/readthedocs/pennylane-cirq.svg
            :alt: Read the Docs
            :target: https://pennylane-cirq.readthedocs.io
        
        .. image:: https://img.shields.io/pypi/v/pennylane-cirq.svg
            :alt: PyPI
            :target: https://pypi.org/project/pennylane-cirq
        
        
        `PennyLane <https://pennylane.readthedocs.io>`_ is a cross-platform Python library for quantum machine
        learning, automatic differentiation, and optimization of hybrid quantum-classical computations.
        
        `Cirq <https://github.com/quantumlib/Cirq>`_ is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators.
        
        This PennyLane plugin allows to use both the software and hardware backends of Cirq as devices for PennyLane.
        
        
        Features
        ========
        
        * Access to Cirq's simulator backend via the `cirq.simulator` device
        
        * Support for all PennyLane core functionality
        
        
        Installation
        ============
        
        Plugin Name requires both PennyLane and Cirq. It can be installed via ``pip``:
        
        .. code-block:: bash
        
            $ python -m pip install pennylane-cirq
        
        
        Getting started
        ===============
        
        Once Pennylane Cirq is installed, the provided Cirq devices can be accessed straight
        away in PennyLane.
        
        You can instantiate these devices for PennyLane as follows:
        
        .. code-block:: python
        
            import pennylane as qml
            dev = qml.device('cirq.simulator', wires=2, shots=100, analytic=True)
        
        These devices can then be used just like other devices for the definition and evaluation of
        QNodes within PennyLane. For more details, see the
        `plugin usage guide <https://pennylane-cirq.readthedocs.io/en/latest/usage.html>`_ and refer
        to the PennyLane documentation.
        
        
        Contributing
        ============
        
        We welcome contributions - simply fork the Plugin Name repository, and then make a
        `pull request <https://help.github.com/articles/about-pull-requests/>`_ containing your contribution.
        All contributors to PennyLane-Cirq will be listed as authors on the releases.
        
        We also encourage bug reports, suggestions for new features and enhancements, and even links to cool
        projects or applications built on PennyLane and Cirq.
        
        
        Authors
        =======
        
        Johannes Jakob Meyer
        
        If you are doing research using PennyLane, please cite our papers:
        
            Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin, and Nathan Killoran.
            *PennyLane: Automatic differentiation of hybrid quantum-classical computations.* 2018.
            `arXiv:1811.04968 <https://arxiv.org/abs/1811.04968>`_
        
            Maria Schuld, Ville Bergholm, Christian Gogolin, Josh Izaac, and Nathan Killoran.
            *Evaluating analytic gradients on quantum hardware.* 2018.
            `Phys. Rev. A 99, 032331 <https://journals.aps.org/pra/abstract/10.1103/PhysRevA.99.032331>`_
        
        
        Support
        =======
        
        - **Source Code:** https://github.com/XanaduAI/pennylane-cirq
        - **Issue Tracker:** https://github.com/XanaduAI/pennylane-cirq/issues
        
        If you are having issues, please let us know by posting the issue on our GitHub issue tracker.
        
        
        License
        =======
        
        Plugin Name is **free** and **open source**, released under the Apache License, Version 2.0.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Physics
Provides: pennylane_cirq
