基于量子纠缠的非线性约束优化

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper presents a novel non-linear constraint optimization algorithm based on quantum entanglement. Traditional constraint optimization methods often struggle with complex, high-dimensional constraints, leading to suboptimal solutions. This work leverages the unique properties of quantum entanglement to introduce a fundamentally different approach to constraint exploration, offering the potential for enhanced optimization capabilities. We introduce a novel entanglement-based constraint formulation and a corresponding optimization framework, demonstrating its effectiveness through a series of challenging, real-world problems. The core mechanism centers around manipulating entangled states to effectively explore the solution space and guide the search toward optimal configurations. This paper explores the potential of quantum entanglement to revolutionize constraint optimization, offering a promising path toward more efficient and robust solutions.

DOI: 10.5281/zenodo.22241869

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