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Dynamic Topology-Based Quantum Optimization Algorithms

Jincheng Zhang

Published Sep 5, 2026• 0 citations
Publisher

Abstract

This paper introduces a novel quantum optimization algorithm based on dynamic topology. The algorithm leverages the principles of topology to dynamically adjust quantum parameters, enabling efficient exploration of the solution space and facilitating self-adaptive optimization. We propose a framework where the quantum system evolves through a series of topological transformations guided by a feedback mechanism, resulting in a globally optimal solution. The algorithm's core mechanism involves creating and manipulating topological structures that guide the optimization process. The potential of this approach to enhance quantum algorithms and achieve improved efficiency is significant.

DOI
10.5281/zenodo.22326410

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