##基于量子算法的复杂系统建模

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates the potential of quantum algorithms to revolutionize complex system modeling. Traditional methods often struggle with the inherent complexity of these systems, limiting the precision of predictions and hindering optimization. Quantum computing offers a paradigm shift through its unique capabilities – quantum superposition, entanglement, and interference – which promise to overcome these limitations. We present a framework for utilizing quantum algorithms to model complex systems, exploring specific algorithms suitable for tasks like simulating fluid dynamics, optimizing material properties, and analyzing biological systems. The paper details the potential benefits, challenges, and preliminary experimental explorations of this approach, emphasizing the transformative impact of quantum computing on complex system analysis. The core claim is that leveraging quantum algorithms will lead to more accurate system modeling, enhanced prediction, and improved optimization capabilities.

DOI: 10.5281/zenodo.22519110

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