25 citations · 27 across the 4 of their papers we have counts for
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quant-ph2026
Training single-electron and single-photon stochastic physical neural networks
Tong Dou, Shiro Kumara, Josh Burns +6
The computational demands of deep learning motivate the investigation of alternative approaches to computation. One alternative is physical neural networks~(PNNs), in which learnin…
quant-ph2022★ 2 cited
Efficient Quantum Feature Extraction for CNN-based Learning
Tong Dou, Guofeng Zhang, Wei Cui
Recent work has begun to explore the potential of parametrized quantum circuits (PQCs) as general function approximators. In this work, we propose a quantum-classical deep network…
quant-ph2021
An unsupervised feature learning for quantum-classical convolutional network with applications to fault detection
Tong Dou, Zhenwei Zhou, Kaiwei Wang +2
Combining the advantages of quantum computing and neural networks, quantum neural networks (QNNs) have gained considerable attention recently. However, because of the lack of quant…