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Quantum Topology Dynamic Adaptive Optimization

Jincheng Zhang

Published Sep 2, 2026• 0 citations
Publisher

Abstract

Quantum topology, a fascinating field of physics, has recently emerged as a promising tool for computation and materials science. Its unique properties, such as the existence of stable, non-interacting quantum states, have implications for various areas, including quantum information theory and materials design. This paper explores the potential of quantum topology to revolutionize optimization, particularly in complex function optimization. We propose a novel dynamic adaptive optimization algorithm based on the principles of quantum topology, leveraging the inherent properties of topological structures to automatically adjust optimization parameters and achieve optimal solutions. This approach offers a significant advantage over traditional optimization methods, especially when dealing with complex, non-linear problems.

DOI
10.5281/zenodo.22255155

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