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Quantum-Enhanced Pattern Recognition

Jincheng Zhang

Published Sep 2, 2026• 0 citations
Publisher

Abstract

This paper presents a novel approach to pattern recognition centered around the application of quantum entanglement to significantly enhance the accuracy and speed of identifying subtle patterns. Traditional pattern recognition methods often struggle with complex datasets and require extensive computational resources. We propose a system that utilizes a quantum-inspired 'state vector' to capture intricate patterns, offering a potential paradigm shift in this field. The core mechanism involves establishing entanglement between quantum systems, which allows for a unique level of correlation and information processing, ultimately leading to improved pattern identification capabilities. This work explores the theoretical foundations and preliminary experimental validation of this approach, aiming to demonstrate substantial improvements over existing techniques.

DOI
10.5281/zenodo.22245202

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