A Hybrid Quantum–Classical Architecture with Data Re-Uploading and Genetic Algorithm Optimization for Enhanced Image Classification

Quantum machine learning (QML) has emerged as a promising approach for enhancing image classification by exploiting quantum computational principles such as superposition and entanglement. However, practical applications on complex datasets like CIFAR-100 remain limited due to the low expressivity o...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Aksultan Mukhanbet, Beimbet Daribayev
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-08-01
coleção:	Computation
Assuntos:	quantum machine learning hybrid quantum–classical models data re-uploading genetic algorithm quantum convolutional neural network image classification
Acesso em linha:	https://www.mdpi.com/2079-3197/13/8/185
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!