Genetic simulation of quantum dynamics by the principle of quantum state selection

TL;DR

This paper introduces a genetic algorithm-based method for simulating quantum many-body dynamics, leveraging quantum state selection and inherent decoherence to model complex quantum systems.

Contribution

It presents a novel genetic simulation approach that incorporates quantum state selection and classical memory limitations for modeling quantum dynamics.

Findings

Demonstrates application to molecular association in chemical reactions

Shows how quantum state selection can simulate entangled quantum systems

Highlights the role of classical memory limitations in quantum decoherence

Abstract

The simple genetic algorithm is proposed for the simulation of quantum many body dynamics. It uses the selection of entangled quantum states and has the inbuilt absolute decoherence that comes from the limitation of classical memory. It utilizes the "pre-quantum field" in the form of interacting between the different "quantum worlds". It is shown how this selection model can be applied to the problem of molecular association in chemical reactions.