Metadata-Version: 2.4
Name: cudaq-solvers
Version: 0.5.0
Summary: Accelerated libraries for Quantum Error Correction built on CUDA-Q
Author: NVIDIA Corporation & Affiliates
Maintainer: NVIDIA Corporation & Affiliates
License-Expression: Apache-2.0
Project-URL: Homepage, https://nvidia.github.io/cudaqx
Project-URL: Documentation, https://nvidia.github.io/cudaqx/components/solvers/introduction.html
Project-URL: Repository, https://github.com/NVIDIA/cudaqx
Keywords: cudaq,cuda-quantum,cuda,quantum,quantum computing,nvidia,high-performance computing
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Environment :: GPU :: NVIDIA CUDA
Classifier: Environment :: GPU :: NVIDIA CUDA :: 12
Classifier: Environment :: GPU :: NVIDIA CUDA :: 13
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: NOTICE
Dynamic: license-file

# CUDA-Q Solvers Library

CUDA-Q Solvers provides GPU-accelerated implementations of common
quantum-classical hybrid algorithms and numerical routines frequently used in
quantum computing applications. The library is designed to work seamlessly with
CUDA-Q quantum programs.

This is package is a meta-package that when installed, simply installs the
version of the package that is appropriate for your system, e.g.
[`cudaq-solvers-cu12`](https://pypi.org/project/cudaq-solvers-cu12/) or
[`cudaq-solvers-cu13`](https://pypi.org/project/cudaq-solvers-cu13/). Please
click those links for more details about the package.

The optional dependencies that work with the above sub-packages also work with
this meta-package.
