Solving the Schrodinger equation with genetic algorithms: a practical approach

TL;DR

This paper reviews the use of genetic algorithms, inspired by evolution, to find approximate solutions to the Schrödinger equation in complex quantum systems and models of artificial intelligence, demonstrating their practical application.

Contribution

It introduces a practical approach using genetic algorithms to solve the Schrödinger equation in quantum systems and AI models, expanding the toolkit for approximate quantum solutions.

Findings

Genetic algorithms can effectively approximate solutions to the Schrödinger equation.

Application demonstrated in quantum neuron models and quantum circuit synthesis.

Shows potential for solving complex quantum and AI-related quantum problems.

Abstract

The Schrodinger equation is one of the most important equations in physics and chemistry and can be solved in the simplest cases by computer numerical methods. Since the beginning of the 70s of the last century the computer began to be used to solve this equation in elementary quantum systems, e.g. and in the most complex case a hydrogen-like system. Obtaining the solution means finding the wave function, which allows predicting the physical and chemical properties of the quantum system. However, when a quantum system is more complex than a hydrogen-like system then we must be satisfied with an approximate solution of the equation. During the last decade the application of algorithms and principles of quantum computation in disciplines other than physics and chemistry, such as biology and artificial intelligence, has led to the search for alternative techniques with which to obtain approximate solutions of the Schrodinger equation. In this paper, we review and illustrate the application of genetic algorithms, i.e. stochastic optimization procedures inspired by Darwinian evolution, in elementary quantum systems and in quantum models of artificial intelligence. In this last field, we illustrate with two toy models how to solve the Schrodinger equation in an elementary model of a quantum neuron and in the synthesis of quantum circuits controlling the behavior of a Braitenberg vehicle.