Quantum Topology Geometry Adaptive Optimization Algorithm

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum Topology Geometry Adaptive Optimization Algorithm presents a novel approach to optimization using quantum mechanics principles. This paper introduces a dynamically adjustable geometric constraint system inspired by quantum topology, enabling the algorithm to effectively navigate complex geometric spaces and surpass the limitations of traditional optimization methods. The core mechanism centers around exploiting quantum entanglement and topological transformations to introduce adaptive constraints during the optimization process. The research demonstrates the algorithm's effectiveness in solving challenging optimization problems across diverse fields, highlighting its potential for significant advancements in areas requiring intricate geometric analysis.

DOI: 10.5281/zenodo.22223726

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