Title :
On the Universality of Quantum Logical Neural Networks
Author :
Silva, Adenilton J da ; Ludermir, Teresa B. ; De Oliveira, Wilson R.
Author_Institution :
Centro de Inf., Univ. Fed. de Pernambuco, Recife, Brazil
Abstract :
In this paper we investigate the computational power of the quantum weightless neural networks (q-WNN) and propose a novel quantum weightless neural node. The new quantum neuron is derived from the quantum probabilistic logic node (qPLN), which is a mathematical quantisation of the weightless neural node PLN. By a slight modification on the input lines of the qPLN node it is possible to define the quantum psi-neuron. We show in this paper that psi-neurons can be used to approximate any quantum circuit.
Keywords :
approximation theory; neural nets; quantisation (quantum theory); quantum computing; computational power; mathematical quantisation; q-WNN; qPLN; quantum circuit; quantum computation; quantum logical neural network universality; quantum neuron; quantum probabilistic logic node; quantum psi-neuron; quantum weightless neural networks; quantum weightless neural node; Biological neural networks; Logic gates; Neurons; Quantum computing; Random access memory; Registers; Quantum Neural Networks; Universality; Weightless Neural Networks;
Conference_Titel :
Neural Networks (SBRN), 2012 Brazilian Symposium on
Conference_Location :
Curitiba
Print_ISBN :
978-1-4673-2641-4
DOI :
10.1109/SBRN.2012.44
