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基于量子纠缠的并行计算模型

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper investigates a novel parallel computing model predicated on the principles of quantum entanglement. Traditional parallel computing approaches often rely on classical communication and computation, limiting the potential for significant performance gains. We propose a model that leverages quantum entanglement to facilitate data transfer and computation, offering a fundamentally different approach to parallel processing. The core mechanism centers around establishing entangled states between processors, enabling instantaneous and correlated data exchange and acceleration of computational processes. This paper explores the theoretical foundations, implementation challenges, and potential applications of this approach, highlighting its promise for advancing the capabilities of parallel computing. The research explores the benefits of this model through a detailed analysis of entanglement properties and its implications for data manipulation and calculation.

DOI
10.5281/zenodo.22194320

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Quantum entanglement, a bizarre phenomenon where two particles become linked and share the same fate regardless of the distance separating them, holds immense potential for revolutionizing parallel processing. This paper explores the utilization of quantum entanglement to establish parallel processing pathways across vast computational distances, aiming to enhance processing speed for complex calculations. We introduce a novel algorithm, the 'Entanglement Resonance' method, designed to leverage this phenomenon for efficient data transfer and accelerated computation. The core mechanism centers around establishing entangled states to facilitate information transfer and ultimately, improve performance. This research delves into the theoretical foundations, algorithm implementation, and potential practical applications of this approach, offering a pathway toward significantly faster computations for computationally intensive tasks.
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This paper proposes a novel distributed computing architecture leveraging the principles of quantum entanglement for enhanced parallel computation. Traditional distributed computing relies heavily on classical communication, which introduces latency and bandwidth limitations. This architecture aims to overcome these challenges by exploiting the inherent correlations within entangled quantum states. We introduce a framework where multiple computational nodes are interconnected via entangled qubits, forming a quantum entanglement network. This network facilitates direct, correlated computation between nodes, theoretically enabling a significant speedup compared to conventional parallel processing. The core claim of this work is the realization of ultra-efficient parallel computation through entanglement-based distributed computing. The presented model details the architecture, the entanglement management strategy, and the theoretical computational advantages. We focus on the conceptual design and the underlying mathematical framework, providing a foundation for future research and development in this area. The key mathematical concept driving this architecture is the manipulation of entangled states to perform computations without the need for direct data transfer between nodes. This approach presents a fundamentally different paradigm for distributed computing, with the potential to revolutionize fields reliant on computationally intensive tasks.
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