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Comments on “Quantum M-P Neural Network”

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Abstract

In a paper on quantum neural networks, Zhou and Ding (Int. J. Theor. Phys. 46(12):3209-3215 ([2007])) proposed a new model of quantum perceptron denoted quantum M-P neural network and showed its functionality by an example. In this letter, we show that the proposed learning algorithm does not follow an unitary evolution and the proposed neuron can be efficiently simulated by a classical single layer neural network.

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Acknowledgments

This work is supported by research grants from CNPq, CAPES and FACEPE (Brazilian research agencies).

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Authors and Affiliations

  1. Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil

    Adenilton J. da Silva & Teresa B. Ludermir

  2. Departamento de Estatística e Informática, Universidade Federal Rural de Pernambuco, Recife, Brazil

    Adenilton J. da Silva & Wilson R. de Oliveira

Authors
  1. Adenilton J. da Silva
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  2. Wilson R. de Oliveira
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  3. Teresa B. Ludermir
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Correspondence to Adenilton J. da Silva.

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da Silva, A.J., de Oliveira, W.R. & Ludermir, T.B. Comments on “Quantum M-P Neural Network”. Int J Theor Phys 54, 1878–1881 (2015). https://doi.org/10.1007/s10773-014-2393-1

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  • DOI: https://doi.org/10.1007/s10773-014-2393-1

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