ga-vqc 0.0.1

Genetic Algorithm for VQC ansatz search.

GA for VQC Ansatz Search

This is a module to support Variational Quantum Circuits by optimizing the ansatz. The ansatz optimization is performed using a Genetic Algorithm, which can be sped up with GPUs.

Installation

Run the following to install:

$ pip install ga_vqc

Contributors

This module was developed through the Caltech SURF program. Special thanks to my mentor at Caltech.

• Jean-Roch (California Institute of Technology, Pasadena, CA 91125, USA)

Usage

import ga_vqc as gav

# Config (hyperparameters) for GA, see full list in example
config = {
    'backend': 'simple',
    'vqc': main,
}

# Create the GA with the given hyperparameters
ga = gav.backend(config)

# Evolve the GA and search for the best ansatz
ga.evolve()