evovaq

Name	evovaq JSON
Version	1.0.22 JSON
	download
home_page	https://github.com/Quasar-UniNA/EVOVAQ
Summary	EVOlutionary algorithms toolbox for VAriational Quantum circuits
upload_time	2024-05-13 08:32:06
maintainer	None
docs_url	None
author	Angela Chiatto
requires_python	None
license	MIT
keywords	quantum computing evolutionary algorithms variational quantum circuits
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # EVOVAQ [![Made at Quasar!](https://img.shields.io/badge/Unina-%20QuasarLab-blue)](http://quasar.unina.it) [![Made at Quasar!](https://img.shields.io/badge/Documentation-%20Readthedocs-brightgreen)](https://evovaq.readthedocs.io/en/latest/index.html)

**EVOlutionary algorithms-based toolbox for VAriational Quantum circuits (EVOVAQ)** is a novel evolutionary framework designed
to easily train variational quantum circuits through evolutionary techniques, and to have a simple interface between
these algorithms and quantum libraries, such as Qiskit.

**Optimizers in EVOVAQ:**

* Genetic Algorithm

* Differential Evolution

* Memetic Algorithm

* Big Bang Big Crunch

* Particle Swarm Optimization

* CHC Algorithm

* Hill Climbing

## Installation

You can install EVOVAQ via ``pip``:

```bash
pip install evovaq
```

Pip will handle all dependencies automatically and you will always install the latest version.

            

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