Quantum neural networks are expected to provide the theoretical framework to implement machine learning on quantum computers. We develop a continuous Rosenblatt quantum perceptron which represents the generalization of the McCulloch-Pitts quantum perceptron existing in the literature. We implement its quantum circuit on a IBM quantum computer.
A continuous rosenblatt quantum perceptron / M. Maronese, E. Prati. - In: INTERNATIONAL JOURNAL OF QUANTUM INFORMATION. - ISSN 0219-7499. - 19:4(2021), pp. 2140002.1-2140002.10. [10.1142/S0219749921400025]
A continuous rosenblatt quantum perceptron
E. Prati
2021
Abstract
Quantum neural networks are expected to provide the theoretical framework to implement machine learning on quantum computers. We develop a continuous Rosenblatt quantum perceptron which represents the generalization of the McCulloch-Pitts quantum perceptron existing in the literature. We implement its quantum circuit on a IBM quantum computer.
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