Metadata-Version: 2.1
Name: stoqcompiler
Version: 0.2.0
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
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
License-File: LICENSE

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# stoqcompiler: Toolset for stochastic approximate quantum compilation

The `stoqcompiler` package provides a toolset for stochastic approximate quantum compilation as introduced in [arXiv:2205.13074](https://arxiv.org/abs/2205.13074).

## 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, Hang Ren, Emiliia Dyrenkova, Christopher G. Yale, Daniel S. Lobser, Ashlyn D. Burch, Matthew N. H. Chow, Melissa C. Revelle, Susan M. Clark, Hartmut HÃ¤ffner. _Efficient verification of continuously-parameterized quantum gates._ [arXiv:2205.13074](https://arxiv.org/abs/2205.13074) (2022).


