Quantum Entanglement-Based Multi-Task Parallel Algorithm

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel algorithm leveraging the principles of quantum entanglement to achieve multi-task parallelization with potential superlinear speedup. The core idea centers around designing a computational architecture based on entangled states, where multiple computational tasks are mapped onto a single quantum state through strategic manipulation. This approach fundamentally differs from traditional hardware-level parallel algorithms, utilizing the inherent non-classical correlations offered by quantum mechanics. The algorithm aims to demonstrate the theoretical possibility of superlinear acceleration by exploiting entanglement's ability to correlate the states of distant particles. The paper outlines the conceptual framework, formalizes the key mathematical operations, and discusses the potential challenges and future directions of this research.

DOI: 10.5281/zenodo.22267708

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