# QCGPU [![Travis (.org)](https://img.shields.io/travis/QCGPU/qcgpu.svg?style=for-the-badge)](https://travis-ci.org/QCGPU/qcgpu) [![PyPi Version](https://img.shields.io/pypi/v/qcgpu.svg?style=for-the-badge)](https://pypi.python.org/pypi/qcgpu) [![License](https://img.shields.io/pypi/l/qcgpu.svg?style=for-the-badge)](https://pypi.python.org/pypi/qcgpu/) [![GitHub stars](https://img.shields.io/github/stars/qcgpu/qcgpu.svg?style=for-the-badge&label=Stars)](https://github.com/QCGPU/qcgpu) [![Unitary Fund](https://img.shields.io/badge/Supported%20By-UNITARY%20FUND-brightgreen.svg?style=for-the-badge)](http://unitary.fund) Open Source, High Performance & Hardware Accelerated, Quantum Computer Simulator. Read the [research paper](https://arxiv.org/abs/1805.00988). **Features:** - Written with OpenCL. Accelerated your simulations with GPUs and other accelerators, while still running cross device and cross platform. - Simulation of arbitrary quantum circuits - Includes example algorithm implementations - Support for arbitrary gate creation/application, with many built in. ## Installing This library is distributed on [PyPI](https://pypi.python.org/pypi/qcgpu) and can be installed using pip: ```bash $ pip install qcgpu ``` For more information read the full [installing docs](https://qcgpu.github.io/qcgpu/install.html).