Metadata-Version: 2.1
Name: evovaq
Version: 1.0.4
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
License-File: LICENSE
Requires-Dist: numpy ==1.23.5
Requires-Dist: setuptools ==65.5.1
Requires-Dist: tabulate ==0.8.10
Requires-Dist: tqdm ==4.64.1
Requires-Dist: matplotlib ==3.5.1
Requires-Dist: pandas ==1.4.2
Requires-Dist: openpyxl ==3.0.9
Requires-Dist: scikit-learn ==1.1.3
Requires-Dist: qiskit ==0.36.2
Requires-Dist: networkx ==3.1
Requires-Dist: qiskit-optimization ==0.4.0
Requires-Dist: qiskit-aer ==0.10.4
Requires-Dist: jupyter ==1.0.0
Requires-Dist: jupyter-client
Requires-Dist: jupyter-console
Requires-Dist: jupyter-contrib-core ==0.3.3
Requires-Dist: jupyter-contrib-nbextensions ==0.5.1
Requires-Dist: jupyter-core
Requires-Dist: jupyter-highlight-selected-word ==0.2.0
Requires-Dist: jupyter-latex-envs ==1.4.6
Requires-Dist: jupyter-nbextensions-configurator ==0.4.1
Requires-Dist: jupyterlab-pygments
Requires-Dist: jupyterlab-widgets
Requires-Dist: nbsphinx ==0.9.3
Requires-Dist: pandocfilters
Requires-Dist: parso
Requires-Dist: Sphinx ==5.1.1
Requires-Dist: sphinxcontrib-applehelp ==1.0.2
Requires-Dist: sphinxcontrib-devhelp ==1.0.2
Requires-Dist: sphinxcontrib-htmlhelp ==2.0.0
Requires-Dist: sphinxcontrib-jsmath ==1.0.1
Requires-Dist: sphinxcontrib-qthelp ==1.0.3
Requires-Dist: sphinxcontrib-serializinghtml ==1.1.5
Requires-Dist: sphinx-rtd-theme ==1.3.0

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
