Title: Adaptive Quantum Potential Field Simulation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper presents an innovative approach to quantum potential field simulation, leveraging adaptive quantum field parameter adjustment to achieve more accurate and efficient simulations. Traditional methods rely on manual parameter tuning, while this framework utilizes a dynamic adjustment mechanism to automatically optimize the simulation for complex quantum systems. The core of the innovation lies in a self-adjusting system that continuously monitors the system's behavior and modifies the quantum field parameters accordingly, resulting in improved simulation fidelity and enhanced performance in quantum computing. The research demonstrates the effectiveness of this approach through a series of simulations, showcasing significant improvements in the representation of quantum phenomena compared to conventional methods. The paper highlights the benefits of automated parameter adjustment and its potential to accelerate the development of quantum algorithms.

DOI: 10.5281/zenodo.22301293

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