Quantum perceptron network

  • Authors:
  • Rigui Zhou;Ling Qin;Nan Jiang

  • Affiliations:
  • Department of Computer Science and Technology, Nanjing University of Aeronautics, and Astronautics, Nanjing, Jiangsu, China;Department of Computer Science and Technology, Nanjing University of Aeronautics, and Astronautics, Nanjing, Jiangsu, China;Department of Computer Science and Technology, Nanjing University of Aeronautics, and Astronautics, Nanjing, Jiangsu, China

  • Venue:
  • ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
  • Year:
  • 2006

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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.