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A continuous rosenblatt quantum perceptron
International Journal of Quantum Information ( IF 0.7 ) Pub Date : 2021-06-30 , DOI: 10.1142/s0219749921400025
Marco Maronese 1, 2 , Enrico Prati 1
Affiliation  

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.

中文翻译:

一个连续的 Rosenblatt 量子感知器

量子神经网络有望为在量子计算机上实现机器学习提供理论框架。我们开发了一个连续的 Rosenblatt 量子感知器,它代表了文献中存在的 McCulloch-Pitts 量子感知器的推广。我们在 IBM 量子计算机上实现了它的量子电路。
更新日期:2021-06-30
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