Quantum Spin Dynamic Self-Organization Topology Optimization

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum spin dynamics offer a unique platform for optimizing complex quantum systems, particularly those involving intricate topological structures. This paper explores a novel dynamic self-organization topology optimization algorithm leveraging the inherent properties of quantum spin. We propose a method that utilizes the self-relatedness of quantum spins to iteratively adjust the system's topology, thereby directly optimizing device performance. This approach offers a significant departure from traditional optimization methods, promising enhanced control over quantum system behavior. The core mechanism centers around the generation of complex, dynamically evolving topological configurations through controlled spin dynamics. The paper details the algorithm's architecture, illustrates its effectiveness through conceptual examples, and discusses future research directions, including exploring the application of this approach to diverse quantum device designs.

DOI: 10.5281/zenodo.22253668

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