Abstract:Quantum machine learning algorithms could provide significant speed-ups over their classical counterparts; however, whether they could also achieve good generalization remains unclear. Recently, two quantum perceptron models which give a quadratic improvement over the classical perceptron algorithm using Grover's search have been proposed by Wiebe et al. [28]. While the first model reduces the complexity with respect to the size of the training set, the second one improves the bound on the number of mistakes m… Show more
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