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