Adaptive Quantum Potential Field Simulation

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces an adaptive quantum potential field simulation framework designed to dynamically adjust simulation parameters and achieve more accurate results. Traditional quantum potential field simulations often rely on static parameter settings, a limitation that hinders the ability to capture complex quantum phenomena. This work proposes a novel approach utilizing the dynamic nature of quantum potential fields to iteratively refine simulation parameters, ultimately leading to improved fidelity and insight. The core mechanism involves a continuous, iterative process of parameter adjustment guided by the inherent characteristics of the quantum field. We demonstrate the framework's efficacy through simulations of a specific quantum system, highlighting its ability to overcome limitations of static approaches. This innovation offers a significant step towards more robust and insightful quantum simulation.

DOI: 10.5281/zenodo.22515018

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