Title: Quantum-Inspired Optimization with Adaptive Topology

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum-inspired optimization aims to leverage the principles of quantum mechanics to accelerate the discovery of optimal solutions. This paper introduces a novel optimization algorithm, Quantum-Inspired Optimization with Adaptive Topology, that employs a dynamically evolving topology to guide the search, achieving improved efficiency and the potential for finding more promising solutions than traditional methods. The core mechanism involves generating and modifying the topology during the optimization process, strategically focusing the search towards areas of increased potential. The paper details the algorithm's architecture, the underlying principles of the adaptive topology, and the experimental results demonstrating its superior performance compared to existing optimization techniques.

DOI: 10.5281/zenodo.22199515

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