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基于量子纠缠的非线性方程组求解

Jincheng Zhang

Published Sep 3, 2026• 0 citations
Publisher

Abstract

This paper explores the potential of leveraging quantum entanglement to accelerate the solution of non-linear equation systems. Traditional methods often struggle with the complexity and scalability of these problems. We propose a novel algorithm based on quantum entanglement, utilizing the correlated states of entangled particles to perform parallel computations and significantly enhance the efficiency of equation solving. This research delves into the theoretical underpinnings of entanglement-assisted computation and demonstrates preliminary results showcasing the algorithm's capacity for tackling challenging non-linear equations. The core mechanism focuses on distributing computational workload across entangled qubits, thereby reducing the inherent computational cost associated with classical approaches. This work offers a promising avenue for advancements in solving complex mathematical problems, potentially revolutionizing the field of numerical analysis.

DOI
10.5281/zenodo.22267423

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Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers a potential pathway to revolutionize complex systems and algorithms. This paper investigates the design of a novel non-linear equation solver leveraging quantum entanglement to enhance computational efficiency, particularly for systems exhibiting intricate non-linear relationships and quantum effects. We propose a system that utilizes entangled qubit states to facilitate localized correlations, significantly accelerating computation and mitigating the computational complexity associated with traditional methods. This research explores the feasibility of implementing such a system and its potential impact on various applications, including optimization problems and quantum simulation. The core mechanism centers on establishing and maintaining entanglement to create a dynamic, interconnected network for solving equations.
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