Metadata-Version: 2.1
Name: evovaq
Version: 1.0.9
Summary: EVOlutionary algorithms toolbox for VAriational Quantum circuits
Home-page: https://github.com/Quasar-UniNA/EVOVAQ
Author: Angela Chiatto
Author-email: angela.chiatto@unina.it
License: MIT
Keywords: Quantum Computing,Evolutionary Algorithms,Variational Quantum Circuits
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
License-File: LICENSE
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EVOlutionary algorithms 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
