International Journal of Advanced Research in Computer Science

Implementation of Hadamard Gate Using Quantum Artificial Neural Network

Shaktikanta Nayak, Prof. J.P.Singh, Sitakanta Nayak,

Published Jan 13, 2017• 0 citations

Abstract

The goal of the artificial neural network is to create powerful artificial problem solving systems. The field of quantum computationapplies ideas from quantum mechanics to the study of computation and has made interesting progress. Quantum Artificial Neural Network(QANN) is one of the new paradigms built upon the combination of classical neural computation and quantum computation. It has great valuesfor theoretic study and potential to applications. In this paper an attempt is made to show how a single quantum neuron is able to perform thewalsh-hadamard transformation which is an important unitary transformation often employed in quantum computation. Keywords: Quantum computation, walsh-hadamard transformation, Quantum neuron, Quantum artificial neural network

DOI: 10.26483/ijarcs.v2i3.554

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