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PennyLane-Orquestra-0.22.0


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توضیحات

PennyLane plugin for Orquestra by Xanadu Inc.
ویژگی مقدار
سیستم عامل OS Independent
نام فایل PennyLane-Orquestra-0.22.0
نام PennyLane-Orquestra
نسخه کتابخانه 0.22.0
نگهدارنده ['Xanadu Inc.']
ایمیل نگهدارنده ['software@xanadu.ai']
نویسنده -
ایمیل نویسنده -
آدرس صفحه اصلی https://github.com/PennyLaneAI/pennylane-orquestra
آدرس اینترنتی https://pypi.org/project/PennyLane-Orquestra/
مجوز -
PennyLane-Orquestra Plugin ########################## .. image:: https://img.shields.io/github/workflow/status/pennylaneai/pennylane-orquestra/PennyLane-Orquestra%20component%20tests/main?label=Component%20tests&logo=github&style=flat-square :alt: GitHub Workflow Status (branch) :target: https://github.com/PennyLaneAI/pennylane-orquestra/actions?query=workflow%3APennyLane-Orquestra%20component%20tests .. image:: https://img.shields.io/github/workflow/status/pennylaneai/pennylane-orquestra/Unit%20tests/main?label=Unit%20tests&logo=github&style=flat-square :alt: GitHub Workflow Status (branch) :target: https://github.com/PennyLaneAI/pennylane-orquestra/actions?query=workflow%3AUnit%20tests .. image:: https://img.shields.io/codecov/c/github/PennyLaneAI/pennylane-orquestra/main.svg?logo=codecov&style=flat-square :alt: Codecov coverage :target: https://codecov.io/gh/PennyLaneAI/pennylane-orquestra .. image:: https://img.shields.io/codefactor/grade/github/PennyLaneAI/pennylane-orquestra/main?logo=codefactor&style=flat-square :alt: CodeFactor Grade :target: https://www.codefactor.io/repository/github/pennylaneai/pennylane-orquestra .. image:: https://img.shields.io/readthedocs/pennylane-orquestra.svg?logo=read-the-docs&style=flat-square :alt: Read the Docs :target: https://pennylane-orquestra.readthedocs.io .. image:: https://img.shields.io/pypi/v/PennyLane-orquestra.svg?style=flat-square :alt: PyPI :target: https://pypi.org/project/PennyLane-orquestra .. image:: https://img.shields.io/pypi/pyversions/PennyLane-orquestra.svg?style=flat-square :alt: PyPI - Python Version :target: https://pypi.org/project/PennyLane-orquestra .. header-start-inclusion-marker-do-not-remove The PennyLane-Orquestra plugin integrates the Orquestra workflow management system for quantum computing with PennyLane's quantum machine learning capabilities. `PennyLane <https://pennylane.readthedocs.io>`_ is a cross-platform Python library for `differentiable programming <https://en.wikipedia.org/wiki/Differentiable_programming>`_ of quantum computers. `Orquestra <https://www.orquestra.io/>`_ is a workflow management system for quantum computing. .. header-end-inclusion-marker-do-not-remove Features ======== * Provides four devices to be used with PennyLane: ``orquestra.forest``, ``orquestra.ibmq``, ``orquestra.qiskit`` and ``orquestra.qulacs``. These devices provide access to the various backends and simulators, including hardware devices like the IBM hardware, which is accessible through the cloud. * Allows computing expectation values by submitting and processing Orquestra workflows. * Supports a wide range of PennyLane operations. * Combines Orquestra's execution capabilities to submit batches of circuits that can be executed in parallel. .. installation-start-inclusion-marker-do-not-remove Installation ============ Folder structure of the plugin ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The source folder of the plugin contains sub-folders for both server and client-side code: 1. *Server-side*: the ``steps`` subfolder contains the functions used in generated workflows as steps and the ``src`` subfolder contains further server-side auxiliary code (if any). Orquestra imports the ``main`` branch of the ``pennylane-orquestra`` repository on each workflow submission, so server-side changes merged into the ``main`` branch take effect immediately. 2. *Client-side*: the ``pennylane_orquestra`` subfolder contains client-side code making up the PennyLane-Orquestra plugin. Installation and tests ~~~~~~~~~~~~~~~~~~~~~~ This plugin requires Python version 3.6 and above. PennyLane and the `Quantum Engine CLI <https://github.com/zapatacomputing/qe-cli>`_ are also required. Installation of this plugin, as well as all dependencies, can be done using ``pip``: .. code-block:: bash pip install pennylane-orquestra To test that the PennyLane-Orquestra plugin is working correctly you can run .. code-block:: bash make test in the source folder. Tests that involve submitting Orquestra workflows to test the end-to-end integration of the plugin can be run with ``make test-e2e``. .. note:: Tests on the `IBMQ device <https://pennylane-orquestra.readthedocs.io/en/latest/devices/ibmq.html>`_ can only be run if an IBM Q authentication token is available via the ``IBMQX_TOKEN`` environment variable for the `IBM Q experience <https://quantum-computing.ibm.com/>`_. If this is the case, running ``make test-e2e`` also executes tests on the ``orquestra.ibmq`` device. By default tests on the ``orquestra.ibmq`` device run with ``ibmq_qasm_simulator`` backend. At the time of writing this means that the test are "free". Please verify that this is also the case for your account. Further test cases for the ``steps`` used by the PennyLane-Orquestra plugin are located in ``steps/tests``. To run these, Python version 3.7 and above is required along with the dependencies contained in the ``steps/requirements_for_tests.txt``. Once these are available, running ``make test-steps`` will run the ``steps`` test suite. .. installation-end-inclusion-marker-do-not-remove Please refer to the `plugin documentation <https://pennylane-orquestra.readthedocs.io/>`_ as well as to the `PennyLane documentation <https://pennylane.readthedocs.io/>`_ for further reference. Contributing ============ We welcome contributions - simply fork the repository of this plugin, and then make a `pull request <https://help.github.com/articles/about-pull-requests/>`_ containing your contribution. All contributers to this plugin 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. Authors ======= PennyLane-Orquestra is the work of `many contributors <https://github.com/PennyLaneAI/pennylane-orquestra/graphs/contributors>`_. If you are doing research using PennyLane and PennyLane-Orquestra, please cite `our paper <https://arxiv.org/abs/1811.04968>`_: Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin, M. Sohaib Alam, Shahnawaz Ahmed, Juan Miguel Arrazola, Carsten Blank, Alain Delgado, Soran Jahangiri, Keri McKiernan, Johannes Jakob Meyer, Zeyue Niu, Antal Száva, and Nathan Killoran. *PennyLane: Automatic differentiation of hybrid quantum-classical computations.* 2018. arXiv:1811.04968 .. support-start-inclusion-marker-do-not-remove Support ======= - **Source Code:** https://github.com/PennyLaneAI/pennylane-orquestra - **Issue Tracker:** https://github.com/PennyLaneAI/pennylane-orquestra/issues - **PennyLane Forum:** https://discuss.pennylane.ai If you are having issues, please let us know by posting the issue on our Github issue tracker, or by asking a question in the forum. .. support-end-inclusion-marker-do-not-remove .. license-start-inclusion-marker-do-not-remove License ======= The PennyLane orquestra plugin is **free** and **open source**, released under the `Apache License, Version 2.0 <https://www.apache.org/licenses/LICENSE-2.0>`_. .. license-end-inclusion-marker-do-not-remove


نیازمندی

مقدار نام
- pyyaml
>=0.15 pennylane


نحوه نصب


نصب پکیج whl PennyLane-Orquestra-0.22.0:

    pip install PennyLane-Orquestra-0.22.0.whl


نصب پکیج tar.gz PennyLane-Orquestra-0.22.0:

    pip install PennyLane-Orquestra-0.22.0.tar.gz