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Variational learning for quantum artificial neural networks
IEEE Transactions on Quantum Engineering
In the last few years, quantum computing and machine learning fostered rapid developments in their respective areas of application, introducing new perspectives on how information processing systems can be realized and programmed. The rapidly growing field of Quantum Machine Learning aims at bringing together these two ongoing revolutions. Here we first review a series of recent works describing the implementation of artificial neurons and feed-forward neural networks on quantum processors. Wedoi:10.1109/tqe.2021.3062494 fatcat:s3q6cigsubbvnmgiv6qetkyhtu