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Quantum Perceptron Network

  • Conference paper
Artificial Neural Networks – ICANN 2006 (ICANN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4131))

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Abstract

A novel neural network,quantum perceptron network(QPN), is presented built upon the combination of classical perceptron network and quantum computing.This quantum perceptron network utilizing quantum phase adequately has the computing power that the conventional perceptron is unable to realize. Through case’ performance analysis and simulation,a quantum perceptron with only one neuron can realize XOR function unrealizable with a classical perceptron having a neuron. Simple network structure can achieve comparatively complicated network function,which will throw heavy influence on the field of artificial intelligence and control engineering.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Technology, Nanjing University of Aeronautics, and Astronautics, Nanjing, Jiangsu, 210016, China

    Rigui Zhou, Ling Qin & Nan Jiang

  2. Nanchang Institute of Aeronautical Technology, Nanchang, Jiangxi, 330034, China

    Rigui Zhou

Authors
  1. Rigui Zhou
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  2. Ling Qin
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  3. Nan Jiang
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Editor information

Editors and Affiliations

  1. School of Electrical and Computer Engineering, Image, Video and Multimedia Systems Laboratory, National Technical University of Athens, GR-157 80, Zographou, Greece

    Stefanos D. Kollias

  2. Department of Electrical and Computer Engineering, National Technical University of Athens, 15780, Zographou, Greece

    Andreas Stafylopatis

  3. Department of Informatics, Nicolaus Copernicus University, Toruń, Poland

    Włodzisław Duch

  4. Adaptive Informatics Research Centre, Helsinki University of Technology, HUT, P.O. Box 5400, 02015, Finland

    Erkki Oja

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhou, R., Qin, L., Jiang, N. (2006). Quantum Perceptron Network. In: Kollias, S.D., Stafylopatis, A., Duch, W., Oja, E. (eds) Artificial Neural Networks – ICANN 2006. ICANN 2006. Lecture Notes in Computer Science, vol 4131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840817_68

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  • DOI: https://doi.org/10.1007/11840817_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38625-4

  • Online ISBN: 978-3-540-38627-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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