基于量子算法的复杂系统模拟

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper explores the application of quantum algorithms to accelerate the simulation of complex systems. Complex systems, characterized by intricate interactions and emergent properties, pose significant computational challenges for traditional simulation methods. We propose a novel framework leveraging quantum computation to overcome these limitations, utilizing quantum algorithms to efficiently represent and evolve complex systems. The core mechanism focuses on employing quantum approximation algorithms to reduce the computational cost of simulations, thereby enabling the study of systems with vast complexity. The paper details the design of the quantum simulation framework, including the selection of appropriate quantum algorithms and the implementation of a simulation pipeline. The potential benefits of this approach include significantly reduced simulation times, the ability to model systems with higher fidelity, and the potential for uncovering novel insights into the dynamics of complex phenomena. This research investigates the feasibility and performance of this framework, demonstrating its effectiveness through simulated examples and preliminary analysis.

DOI: 10.5281/zenodo.22501028

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