An Improved Convolutional Neural Networks: Quantum Pseudo-Transposed Convolutional Neural Networks

Recent advancements in quantum machine learning have spurred the development of hybrid quantum-classical convolutional neural networks (HQCCNNs), which have demonstrated promising potential for image classification tasks. Building on the operational principles of classical transposed convolutional n...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Li Hai, Chen Liang, Hao Yaming, Yu Wenli, Shi Fengquan
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Convolutional neural networks quantum pseudo-transposed convolutional neural networks quantum circuits transposed convolution
Online Access:	https://ieeexplore.ieee.org/document/10891464/