基于量子隐马计算的复杂系统建模

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the application of quantum annealing as a computational tool for complex system modeling. Complex systems often exhibit inherent complexities, making traditional computational methods inadequate for accurate representation and analysis. Quantum annealing, a quantum-mechanical algorithm, offers a potential pathway to overcome these limitations by providing a novel approach to model optimization and representation. We propose a framework utilizing quantum annealing to model a specific, albeit simplified, complex system, demonstrating its capability to achieve improved accuracy and efficiency compared to existing classical methods. This work focuses on the core mechanism of utilizing quantum annealing for complex system modeling, emphasizing its potential for enhancing model precision and computational speed. The paper will outline the theoretical foundation of the proposed framework, present preliminary experimental results demonstrating the benefits of this approach, and discuss future research directions.

DOI: 10.5281/zenodo.22183798

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