Based on Quantum Spin Dynamics

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum spin dynamics offer a fundamentally different approach to manipulating and analyzing topological structures compared to classical methods. This research explores the potential of dynamically transforming topological maps using quantum spin effects, aiming to develop a novel algorithmic framework. We propose a dynamic topology transformation algorithm leveraging the inherent properties of quantum spin to guide the evolution of topological structures. This algorithm will be tested on a set of simplified topological examples to demonstrate the feasibility of this approach. The core mechanism involves iteratively adjusting the topological structure based on quantum spin dynamics, achieving complex calculations and optimizations with improved efficiency and accuracy. This work introduces a new methodology for tackling topological problems, potentially revolutionizing computational methods for topological data analysis and related fields.

DOI: 10.5281/zenodo.22317668

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