量化信息聚合的非线性矩阵运算

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces a novel matrix operation based on quantum entanglement, designed to significantly enhance the efficiency and computational capabilities of quantum computing. Traditional matrix operations often face limitations in speed and memory usage, particularly when dealing with large, complex quantum states. We propose a quantum entanglement-driven approach, leveraging the unique properties of quantum entanglement to accelerate the processing of quantum information. This research explores a new method for efficiently aggregating quantum information by encoding and manipulating quantum states through entangled correlations. The core mechanism centers on establishing a quantum entanglement framework that facilitates rapid information transfer and operation, offering a potential paradigm shift in quantum computation. The study demonstrates the feasibility and potential benefits of this approach, highlighting its promise for advancing quantum algorithms and computational paradigms.

DOI: 10.5281/zenodo.22330021

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