Quantum Topology Adaptive Evolution Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum Topology, a novel framework, presents a groundbreaking approach to evolutionary optimization through the manipulation of quantum entanglement and its associated topological properties. This paper introduces an Adaptive Evolution Algorithm (AEA) predicated on quantum topology, designed to accelerate the evolution of complex systems by leveraging the inherent adaptability and responsiveness of quantum systems. We detail the core mechanism of this algorithm, emphasizing the utilization of quantum entanglement as a key driver for evolutionary change, and demonstrate its efficacy in generating novel solutions to predefined challenges. The algorithm's unique approach promises significant advancements in areas such as materials design, optimization problems, and the exploration of complex systems. The paper concludes with a discussion of the potential applications and future research directions of this innovative approach.

DOI: 10.5281/zenodo.22187975

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