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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...

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Gorde:
Egile Nagusiak: Aksultan Mukhanbet, Beimbet Daribayev
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: MDPI AG 2025-08-01
Saila:Computation
Gaiak:
quantum machine learning
hybrid quantum–classical models
data re-uploading
genetic algorithm
quantum convolutional neural network
image classification
Sarrera elektronikoa:https://www.mdpi.com/2079-3197/13/8/185
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