Quantum algorithms for feedforward neural networks

7 Dec 2018Jonathan AllcockChang-Yu HsiehIordanis KerenidisShengyu Zhang

Quantum machine learning has the potential for broad industrial applications, and the development of quantum algorithms for improving the performance of neural networks is of particular interest given the central role they play in machine learning today. In this paper we present quantum algorithms for training and evaluating feedforward neural networks based on the canonical classical feedforward and backpropagation algorithms... (read more)

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