Adam Kelly
fd0af1612d
One last time here's hoping
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README.rst
QCGPU
=====
.. image:: https://img.shields.io/travis/QCGPU/qcgpu.svg?style=for-the-badge
:alt: Travis (.org)
:target: https://travis-ci.org/QCGPU/qcgpu
.. image:: https://img.shields.io/pypi/v/qcgpu.svg?style=for-the-badge
:target: https://pypi.python.org/pypi/qcgpu
:alt: PyPi Version
.. image:: https://img.shields.io/pypi/l/qcgpu.svg?style=for-the-badge
:target: https://pypi.python.org/pypi/qcgpu/
:alt: License
.. image:: https://img.shields.io/github/stars/qcgpu/qcgpu.svg?style=for-the-badge&label=Stars
:alt: GitHub stars
:target: https://github.com/QCGPU/qcgpu
Open Source, High Performance & Hardware Accelerated, Quantum Computer Simulator.
Read the `research paper`_.
.. _`research paper`: https://arxiv.org/abs/1805.00988
**Features:**
* Written with OpenCL. Accelerated your simuations with GPUs and other accelerators, while still running cross device and cross platform.
* Simulation of arbitrary quantum circuits
* Includes example algorthm implementations
* Support for arbitrary gate creation/application, with many built in.
Installing
==========
This library is distributed on PyPI_ and can be installed using pip::
pip install qcgpu
For more information read the full installing docs, :ref:`installing`.
TODO: Fix this link
.. _PyPI: https://pypi.python.org/pypi/qcgpu
=====
.. image:: https://img.shields.io/travis/QCGPU/qcgpu.svg?style=for-the-badge
:alt: Travis (.org)
:target: https://travis-ci.org/QCGPU/qcgpu
.. image:: https://img.shields.io/pypi/v/qcgpu.svg?style=for-the-badge
:target: https://pypi.python.org/pypi/qcgpu
:alt: PyPi Version
.. image:: https://img.shields.io/pypi/l/qcgpu.svg?style=for-the-badge
:target: https://pypi.python.org/pypi/qcgpu/
:alt: License
.. image:: https://img.shields.io/github/stars/qcgpu/qcgpu.svg?style=for-the-badge&label=Stars
:alt: GitHub stars
:target: https://github.com/QCGPU/qcgpu
Open Source, High Performance & Hardware Accelerated, Quantum Computer Simulator.
Read the `research paper`_.
.. _`research paper`: https://arxiv.org/abs/1805.00988
**Features:**
* Written with OpenCL. Accelerated your simuations with GPUs and other accelerators, while still running cross device and cross platform.
* Simulation of arbitrary quantum circuits
* Includes example algorthm implementations
* Support for arbitrary gate creation/application, with many built in.
Installing
==========
This library is distributed on PyPI_ and can be installed using pip::
pip install qcgpu
For more information read the full installing docs, :ref:`installing`.
TODO: Fix this link
.. _PyPI: https://pypi.python.org/pypi/qcgpu