Quantum Entanglement-Based Parallel Graph Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel parallel graph algorithm based on quantum entanglement, aiming to address challenges in large-scale graph matching and graph search. The core concept is to leverage the unique properties of quantum entanglement to enhance computational efficiency. We propose a mechanism that utilizes entangled pairs of nodes to facilitate parallel computations and information transfer, ultimately achieving a significant improvement in performance compared to classical algorithms for these tasks. This research explores the potential of quantum entanglement to fundamentally alter the landscape of graph processing, offering a promising path towards more efficient and scalable solutions.

DOI: 10.5281/zenodo.22199613

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