Training a classical weightless neural network in a quantum computer
Adenilton José da Silva, Wilson Rosa de Oliveira, Teresa B. Ludermir · The European Symposium on Artificial Neural Networks · 2014
The purpose of this paper is to investigate a new quantum learning algorithm for classical weightless neural networks. The learning algorithm creates a superposition of all possible neural network congura- tions for a given architecture. The performance of the network over the training set is stored entangled with neural conguration and quantum search is performed to amplify the probability amplitude of the network with desired performance.