Metadata-Version: 2.1
Name: stoqcompiler
Version: 0.1.0
Summary: Toolset for stochastic approximate quantum compilation.
Home-page: https://github.com/rmshaffer/stoq-compiler
Author: Ryan Shaffer
Author-email: ryan@ryanshaffer.net
License: UNKNOWN
Description: [![Python package](https://github.com/rmshaffer/stoq-compiler/workflows/Python%20package/badge.svg)](https://github.com/rmshaffer/stoq-compiler/actions/)
        [![codecov](https://codecov.io/gh/rmshaffer/stoq-compiler/branch/main/graph/badge.svg?token=KTF1NV8X0E)](https://codecov.io/gh/rmshaffer/stoq-compiler)
        
        # stoqcompiler: Toolset for stochastic approximate quantum compilation
        
        The `stoqcompiler` package provides a toolset for stochastic approximate quantum compilation as introduced in [arXiv:2101.04474](https://arxiv.org/abs/2101.04474).
        
        ## Installation
        
        The `stoqcompiler` package distribution is hosted on PyPI and can be installed via `pip`:
        
        ```
        pip install stoqcompiler
        ```
        
        Alternatively, the package and its requirements can be installed by cloning the repository locally:
        
        ```
        git clone https://github.com/rmshaffer/stoq-compiler
        cd stoq-compiler
        pip install -r requirements.txt
        pip install -e .
        ```
        
        ## Usage
        
        For examples of using `stoqcompiler`, see the [example notebooks](./examples) and [unit tests](./tests).
        
        ## Citation
        
        If you use or refer to this project in any publication, please cite the corresponding paper:
        
        > Ryan Shaffer. _Stochastic search for approximate compilation of unitaries._ [arXiv:2101.04474](https://arxiv.org/abs/2101.04474) (2021).
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
