Oct. 12, 2022, 1:12 a.m. | Samuel A. Stein, Ying Mao, James Ang, Ang Li

cs.LG updates on arXiv.org arxiv.org

Quantum Machine Learning continues to be a highly active area of interest
within Quantum Computing. Many of these approaches have adapted classical
approaches to the quantum settings, such as QuantumFlow, etc. We push forward
this trend and demonstrate an adaption of the Classical Convolutional Neural
Networks to quantum systems - namely QuCNN. QuCNN is a parameterised
multi-quantum-state based neural network layer computing similarities between
each quantum filter state and each quantum data state. With QuCNN, back
propagation can be achieved …

arxiv backpropagation convolutional neural network entanglement network neural network quantum

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