103 citations · 136 across the 7 of their papers we have counts for
4 papers · 1 filter
Quantum Walk to Train a Classical Artificial Neural Network
Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira
This work proposes a computational procedure that uses a quantum walk in a complete graph to train classical artificial neural networks. The idea is to apply the quantum walk to se…
Classical Artificial Neural Network Training Using Quantum Walks as a Search Procedure
Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira
This paper proposes a computational procedure that applies a quantum algorithm to train classical artificial neural networks. The goal of the procedure is to apply quantum walk as…
On Applying the Lackadaisical Quantum Walk Algorithm to Search for Multiple Solutions on Grids
Jonathan H. A. de Carvalho, Luciano S. de Souza, Fernando M. de Paula Neto +1
Quantum computing promises to improve the information processing power to levels unreachable by classical computation. Quantum walks are heading the development of quantum algorith…
A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function
Tiago A. E. Ferreira, Marios Mattheakis, Pavlos Protopapas
The activation function plays a fundamental role in the artificial neural network learning process. However, there is no obvious choice or procedure to determine the best activatio…