Quantum Optimization Algorithms: A Novel Approach to Rapid Solution and Global Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum Optimization Algorithms (QOA) represent a paradigm shift in optimization techniques, leveraging the unique properties of quantum mechanics to potentially achieve exponential speedups compared to classical algorithms. This paper introduces a novel QOA framework based on the manipulation of quantum entanglement to facilitate efficient and robust optimization. We outline the core mechanism, detailing the algorithmic steps and their mathematical foundations. The research explores the potential of QOA to address limitations in traditional optimization methods, particularly concerning the complexity of certain optimization problems. This work serves as a foundation for further investigation and development into practical quantum optimization solutions.

DOI: 10.5281/zenodo.22292610

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