基于量子自适应的复杂系统建模

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper introduces a novel approach to complex system modeling utilizing quantum self-adaptation. Traditional modeling methods often rely on static parameters, limiting the potential for efficient modeling through dynamic system behavior. Our proposed method leverages the inherent quantum state dynamics to automatically adjust modeling parameters, thereby enhancing both accuracy and efficiency. This paradigm shift allows for more nuanced and responsive modeling, particularly for systems exhibiting complex, non-linear interactions. We demonstrate the efficacy of this approach through a detailed analysis of a simulated example, highlighting its superior performance compared to traditional methods in terms of convergence and fidelity. The core mechanism centers on continuously monitoring and dynamically modifying the system's state based on quantum self-adaptation principles.

DOI: 10.5281/zenodo.22154366

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