基于动态量子态的复杂系统模拟与预测

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper introduces a novel method for simulating and predicting complex systems using dynamic quantum state simulations. Traditional simulation approaches often rely on static models, limiting their ability to accurately capture the intricate dynamics of complex systems. This work proposes a new approach that leverages the dynamic nature of quantum states to provide a more realistic and predictive simulation framework. We detail the methodology, including the implementation of a quantum simulation algorithm and the subsequent analysis of system behavior. The core mechanism centers on dynamically adjusting the system's quantum state to mimic real-world conditions, allowing for enhanced prediction accuracy. We explore the potential applications of this method in biological systems and materials science, highlighting its advantages over existing techniques.

DOI: 10.5281/zenodo.22245338

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