Metadata-Version: 2.2
Name: qipdsl
Version: 0.1.2
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
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Dynamic: summary

# QIP-DSL: Quantum-Inspired Probabilistic Domain-Specific Language (CUDA-only)

QIP-DSL is a high-performance Quantum-Inspired Probabilistic Domain-Specific Language designed for quantum simulation, optimization, and machine learning tasks. It leverages CUDA for GPU acceleration to provide exceptional performance for matrix operations and quantum-inspired algorithms.

## Features

- **CUDA-Accelerated Matrix Operations**: High-performance matrix operations optimized for NVIDIA GPUs
- **Quantum-Inspired Algorithms**: Implementations of quantum-inspired optimization and simulation algorithms
- **Entanglement Simulation**: Tools for simulating quantum entanglement and related phenomena
- **Probabilistic Sampling**: Efficient sampling from complex probability distributions

## Requirements

- CUDA 12.0 or higher
- NVIDIA GPU with Compute Capability 6.0 or higher
- Python 3.6 or higher

## Installation

```bash
pip install qipdsl
```

## 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.
