Physical Field Simulation Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper explores the potential of quantum field simulation optimization (QFSO) as a novel approach to accelerate and enhance physical field simulations. Traditional optimization algorithms often struggle with the computational complexity inherent in these simulations, particularly with large-scale or intricate fields. Quantum field simulation, leveraging the unique properties of quantum mechanics, offers a paradigm shift. We propose a new QFS optimization algorithm predicated on quantum superposition and entanglement, aiming to significantly reduce the computational burden and potentially uncover optimal solutions that are inaccessible to classical methods. This research investigates the feasibility of implementing this algorithm and demonstrates its potential for improving the efficiency of physical field simulations.

DOI: 10.5281/zenodo.22290874

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