Training a Quantum Neural Network

Abstract

Quantum learning holds great promise for the field of machine intelli-gence. The most studied quantum learning algorithm is the quantum neural network. Many such models have been proposed, yet none has become a standard. In addition, these models usually leave out many details, often excluding how they intend to train their networks. This pa-per discusses one approach to the problem and what advantages it would have over classical networks. 1