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Systematic Literature Review of Quantum Convolutional Neural Networks and Circuit Optimization

Quantum convolutional neural networks (QCNNs) are emerging as promising models in quantum machine learning, particularly for image classification and computer vision tasks. Recent developments include hybrid classical–quantum architectures, advanced quantum encoding methods, and novel circuit design...

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Auteurs principaux: Aksultan Mukhanbet, Paulo Trigo, Beimbet Daribayev, Darkhan Akhmed-Zaki
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2026-06-01
Collection:Algorithms
Sujets:
quantum convolutional neural networks (QCNN)
quantum neural networks (QNN)
computer vision
quantum machine learning (QML)
image classification
quantum computing
Accès en ligne:https://www.mdpi.com/1999-4893/19/6/490
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