ISSN: 1948-1432

Journal of Global Research in Computer Sciences
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Research Article


Shaktikanta Nayak*1, Sitakanta Nayak2 and Prof. J.P.Singh3
  1. PhD student, Department of Management Studies, Indian Institute of Technology, Roorkee
  2. PhD student, Department of Management Studies, Indian Institute of Technology, Roorkee
  3. Professors, Department of Management Studies, Indian Institute of Technology, Roorkee, Uttarakhand (India)-247667
Corresponding Author: Shaktikanta Nayak, E-mail: [email protected]
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The goal of the artificial neural network is to create powerful artificial problem solving systems. The field of quantum computation applies ideas from quantum mechanics to the study of computation and has made interesting progress. Quantum Neural Network (QNN) is one of the new paradigms built upon the combination of classical neural computation and quantum computation. It is argued that the study of QNN may explain the brain functionality in a better way and create new systems for information processing including solving some classically intractable problems. In this paper we have given an introductory representation of quantum artificial neural network to show how it can be modelled on the basis of double-slit experiment. Also an attempt is made to show the quantum mechanical representation of a classical neuron to implement Hadamard transformation.

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