基于量子纠缠的自适应物理模拟算法

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper introduces a novel algorithm for physical simulation that leverages quantum entanglement to achieve adaptive parameter adjustment and improved simulation accuracy. Traditional physical simulation methods rely heavily on manual parameter design, limiting their scalability and accuracy. Quantum entanglement offers a unique mechanism for computational efficiency and precise parameter control, potentially revolutionizing the field. We propose a new algorithm, QuantumSim, that utilizes entangled states to dynamically adjust simulation parameters, enabling automated optimization and enhanced simulation fidelity. We demonstrate the effectiveness of QuantumSim through a series of simulations exploring complex systems, highlighting its ability to surpass traditional approaches in terms of accuracy and speed. The paper concludes with a discussion of the potential implications of this approach for various scientific and engineering disciplines.

DOI: 10.5281/zenodo.22254625

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