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
Last synced: 5 months ago
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High Performance Tools for Quantum Computing
- Host: GitHub
- URL: https://github.com/libtangle/qcgpu
- Owner: libtangle
- License: mit
- Created: 2018-03-05T20:20:41.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2023-07-06T21:24:36.000Z (almost 2 years ago)
- Last Synced: 2024-05-18T01:41:33.872Z (11 months ago)
- Topics: gate, opencl, python, quantum, quantum-computer-simulator, quantum-computing, qubits
- Language: Python
- Homepage:
- Size: 20.4 MB
- Stars: 432
- Watchers: 21
- Forks: 50
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# QCGPU
[](https://travis-ci.org/QCGPU/qcgpu)
[](https://pypi.python.org/pypi/qcgpu)
[](https://pypi.python.org/pypi/qcgpu/)
[](https://github.com/QCGPU/qcgpu)
[](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).