基于量子纠缠的非线性拓扑矩阵扩展

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates the potential of leveraging quantum entanglement to enhance the computation of complex拓扑矩阵. Traditional methods for tackling these matrices often suffer from computational limitations. We propose a novel approach that utilizes quantum entanglement to create a non-linear mapping, enabling significantly improved computational efficiency and accuracy. The core of our work involves the design and implementation of a quantum algorithm that exploits the unique properties of entangled qubits to achieve a more profound level of analysis compared to classical approaches. The resulting algorithm demonstrates the capacity to solve problems previously considered intractable, offering a fundamentally new avenue for exploring the complexities of non-linear拓扑矩阵. We provide a detailed mathematical framework for this approach, including the key quantum operations and the resulting computational complexity analysis. The paper concludes by discussing the limitations and future directions of this research, highlighting the potential for broader applications in fields like materials science and complex systems modeling.

DOI: 10.5281/zenodo.22635583

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