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https://github.com/libtangle/qcgpu

High Performance Tools for Quantum Computing
https://github.com/libtangle/qcgpu

gate opencl python quantum quantum-computer-simulator quantum-computing qubits

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High Performance Tools for Quantum Computing

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# 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).