Quantum Topology-Driven Optimization Algorithm

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum Topology-Driven Optimization Algorithm (QTDOA) is a novel optimization algorithm designed to address complex problems by leveraging quantum topological properties. This paper introduces a framework that utilizes the inherent structure of quantum topological spaces to guide the search process, enabling the discovery of more efficient and optimal solutions compared to traditional optimization methods. We present a theoretical foundation for this approach, demonstrating its potential to significantly improve performance in various applications. This research explores the fundamental principles behind QTDOA and outlines a practical implementation strategy, highlighting its advantages and potential impact on the field of optimization.

DOI: 10.5281/zenodo.22277228

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