Quantum Entanglement Optimization Algorithm (QCOA)

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum Entanglement Optimization Algorithm (QCOA) is a novel optimization algorithm that leverages the unique properties of quantum entanglement to discover optimal solutions for complex mathematical problems. Traditional optimization methods typically rely on classical computation, but QCOA introduces a fundamentally new approach by encoding optimization problems into entangled states, allowing for the detection of optimal solutions through quantum mechanics. This paper presents a comprehensive overview of QCOA, detailing its core mechanism, why it is new, and its potential impact across diverse mathematical domains.

DOI: 10.5281/zenodo.22475448

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