25 citations · 27 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Threats and Opportunities: Blockchain Meets Quantum Computation
Wei Cui, Tong Dou, Shilu Yan
This article considered deficiencies of the flourishing blockchain technology manifested by the development of quantum computation. We show that the future blockchain technology wo…