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.
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.
The CUDA-Q Solvers library has been removed from this repository; version 0.6.0 was its final planned release. Development continues in CUDA-Q Algorithms, which supersedes CUDA-Q Solvers and expands on it:
pip install cudaq-algorithmsSee the CUDA-Q Algorithms documentation for tutorials and examples, cudaq-algorithms on PyPI for the package, and NVIDIA/cudaq-algorithms on GitHub for the source code. The CUDA-Q QEC library continues to be developed in this repository.
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.
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
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