Skip to content

marwafar/cudaqx

 
 

Repository files navigation

Welcome to the CUDA-QX repository

This repository contains a set of libraries that build on NVIDIA CUDA-Q. These libraries enable the rapid development of hybrid quantum-classical application code leveraging state-of-the-art CPUs, GPUs, and QPUs.

Getting Started

To learn more about how to work with the CUDA-QX libraries, please take a look at the CUDA-QX Documentation. The page contains detailed installation instructions for officially released packages.

Contributing

There are many ways in which you can get involved with CUDA-QX. If you are interested in developing quantum applications with the CUDA-QX libraries, this repository is a great place to get started! For more information about contributing to the CUDA-QX platform, please take a look at Contributing.md.

License

The code in this repository is licensed under Apache License 2.0.

When distributed via PyPI, GHCR, or NGC, the binaries generated from this source code are also distributed under the Apache License 2.0; however, the libcudaq-qec-nv-qldpc-decoder.so library is closed source and is subject to the NVIDIA Software License Agreement

Contributing a pull request to this repository requires accepting the Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. A CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately. Simply follow the instructions provided by the bot. You will only need to do this once.

About

Accelerated libraries for quantum-classical computing built on CUDA-Q.

Resources

License

Contributing

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 67.9%
  • Python 21.7%
  • CMake 5.4%
  • Shell 4.6%
  • Dockerfile 0.4%