Quantum-Enhanced Feature Extraction for Image Recognition

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum-enhanced feature extraction is a rapidly evolving field with the potential to revolutionize image recognition. Traditional feature extraction methods often struggle with the curse of dimensionality, limiting the expressive power of extracted features. This paper investigates the application of quantum entanglement to enhance feature representation and analysis, aiming to overcome these limitations. We propose a novel framework that utilizes quantum properties to reveal subtle correlations within images, potentially leading to improved accuracy and speed. This work explores the potential of quantum entanglement to provide a fundamentally new approach to image recognition, moving beyond classical feature extraction techniques.

DOI: 10.5281/zenodo.22251935

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