基于自适应的量子模拟的拓扑结构分析

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel approach to topological structure analysis utilizing adaptive quantum simulation. Traditional methods often rely on manual parameter adjustment, limiting the depth of understanding achievable. We propose a self-optimizing simulation strategy that automatically adjusts parameters during the quantum simulation process. This allows for a more comprehensive exploration of the system's topology, potentially revealing unexpected insights and relationships. The core mechanism involves iteratively refining simulation parameters based on observed results, leading to a more robust and adaptable analysis. We demonstrate the effectiveness of this method through a series of simulations focusing on a specific topological structure, showcasing its ability to uncover subtle structural properties and identify critical parameters.

DOI: 10.5281/zenodo.22585837

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