基于自适应量子算法的自适应物理模拟

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel physics simulation framework, leveraging the unique capabilities of quantum simulation, to enhance the accuracy and efficiency of physical modeling. Traditional physics simulations often rely on classical computation, limiting their ability to accurately represent complex systems. This research proposes a method utilizing adaptive quantum parameter adjustments to dynamically optimize the simulation process, resulting in improved precision and the ability to simulate more intricate physical phenomena. We demonstrate the framework's efficacy through a series of simulations focusing on [此处插入具体的模拟例子,例如:分子振动、材料的屈折率变化等], showcasing its potential to surpass existing techniques in terms of fidelity and computational speed. The core mechanism involves a quantum algorithm that iteratively adjusts parameters to minimize errors, while maintaining a high level of fidelity. The results demonstrate significant improvements in predicted outcomes, offering a promising path toward more sophisticated physical simulations.

DOI: 10.5281/zenodo.22303591

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