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
Main Authors: Li Hai, Chen Liang, Hao Yaming, Yu Wenli, Shi Fengquan
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10891464/
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