Quantum Entanglement Information Optimization Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement, a bizarre phenomenon where two or more particles become linked and share the same fate regardless of the distance separating them, holds immense potential for revolutionizing computation. This paper explores the development of a novel optimization algorithm leveraging quantum entanglement to enhance the efficiency and stability of quantum computing. We propose a new approach that utilizes entanglement to facilitate complex computations, potentially unlocking new capabilities in quantum information processing. The core mechanism revolves around designing an algorithm that exploits the unique properties of entangled states to guide the optimization process, leading to improved results and a deeper understanding of quantum entanglement's role in computation. This work investigates both the theoretical foundations of this approach and preliminary experimental investigations into its potential impact.

DOI: 10.5281/zenodo.22204960

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