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

fYear

2012

fDate

20-25 Oct. 2012

Firstpage

102

Lastpage

106

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks (SBRN), 2012 Brazilian Symposium on

Conference_Location

Curitiba

ISSN

1522-4899

Print_ISBN

978-1-4673-2641-4

Type

conf

DOI

10.1109/SBRN.2012.44

Filename

6374832