基于量子态的模式识别算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel pattern recognition algorithm based on quantum state manipulation, leveraging the unique properties of quantum entanglement to achieve rapid identification and modeling of complex patterns, particularly in large and high-dimensional datasets. Traditional pattern recognition methods rely on classical information retrieval, which suffers from inefficiency. We propose a quantum-enhanced approach that utilizes quantum state manipulation to drastically improve data analysis efficiency and accuracy. The core mechanism centers around the utilization of quantum entanglement to facilitate efficient pattern recognition and representation. This paper details the design of the algorithm, its theoretical underpinnings, and preliminary experimental results demonstrating its potential for significant improvements in pattern analysis.

DOI: 10.5281/zenodo.22201651

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