An Artificial Neuron with Quantum Mechanical Properties

  • D. Ventura
  • T. Martinez
Conference paper


Quantum computation uses microscopic quantum level effects to perform computational tasks and has produced results that in some cases are exponentially faster than their classical counterparts. Choosing the best weights for a neural network is a time consuming problem that makes the harnessing of this ‘quantum parallelism’ appealing. This paper briefly covers necessary high-level quantum theory and introduces a model for a quantum neuron.


Weight Vector Weight Space Probability Amplitude Linear Superposition Artificial Neuron 


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Copyright information

© Springer-Verlag Wien 1998

Authors and Affiliations

  • D. Ventura
    • 1
  • T. Martinez
    • 1
  1. 1.Neural Networks and Machine Learning Laboratory Department of Computer ScienceBrigham Young UniversityProvoUSA

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