Quantum Entanglement Optimization Algorithm

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum entanglement, a bizarre phenomenon in quantum mechanics, presents a potentially revolutionary approach to optimization algorithms. This paper explores the design and implementation of a novel optimization algorithm predicated on entanglement, aiming to overcome the limitations of traditional methods. The core claim centers on the ability to discover global optima and circumvent the pitfalls of local search. The proposed algorithm leverages the instantaneous correlations inherent in entangled states to construct a global search space, offering a distinct pathway towards finding optimal solutions for complex problems. This research investigates the potential of entanglement to enhance optimization capabilities and proposes a framework for evaluating its effectiveness.

DOI: 10.5281/zenodo.22243617

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