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In this paper, we introduce a quantum extension of classical DNN, QDNN.
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Multilayer feedforward networks with a nonpolynomial activation function can approximate any function
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Quantum support vector machine for big data classification
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Quantum principal component analysis
Lloyd, S., Mohseni, M. & Rebentrost, P · 2014
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An introduction to quantum machine learning
Schuld, M., Sinayskiy, I. & Petruccione, F · 2015
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The theory of variational hybrid quantum-classical algorithms
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Quantum circuit learning
Mitarai, K., Negoro, M., Kitagawa, M. & Fujii, K · 2018
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Supervised learning with quantum-enhanced feature spaces
Havlíček, V. et al · 2019
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Parameterized quantum circuits as machine learning models
Benedetti, M., Lloyd, E., Sack, S. & Fiorentini, M · 2019
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Building quantum neural networks based on a swap test
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