Metadata-Version: 2.2
Name: qipdsl
Version: 0.1.0
Summary: Quantum-Inspired Probabilistic Domain-Specific Language (CUDA-only)
Home-page: https://github.com/qipdsl/qipdsl
Author: QIP-DSL Team
Author-email: info@qipdsl.org
Keywords: quantum,matrix,optimization,probabilistic,dsl,cuda,gpu
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: C++
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS :: MacOS X
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.19.0
Requires-Dist: matplotlib>=3.3.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# QIP-DSL CUDA-ONLY PACKAGE

This is a CUDA-only build of QIP-DSL, designed for production use on systems with NVIDIA GPUs.

## Requirements

- CUDA 12.8.61 or higher
- NVIDIA GPU with Compute Capability 6.0 or higher
- Python 3.6 or higher

## Installation

```bash
# Install from the provided wheel file
pip install qipdsl-0.1.0-cuda-only.whl

# Or install from source
pip install -e .
```

## Important Note

This package will **NOT** work on systems without CUDA. It will raise an error
at runtime if no CUDA-capable devices are found.

## Documentation

See the `docs/` directory for complete documentation.
