Theory of a quantum artificial neuron based on superconducting devices

  • Authors

    • Haruna Katayama
    • Toshiyuki Fujii
    • Noriyuki Hatakenaka
    2018-08-24
    https://doi.org/10.14419/ijet.v7i3.29.18546
  • Artificial Neural Networks, Superconducting Quantum Interference Devices (Squid), Sigmoid Function, Superconducting Neurons.

  • Abstract

    An artificial neuron using superconducting devices, so-called rf SQUID, working at the quantum-mechanical domain is studied. It is shown that quantum rf SQUID regarded as flux qubit can act as an artificial neuron with sigmoid function generated by coherent quantum-mechanical transitions between wells in double well potential representing rf SQUID.

     

     


     

  • References

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  • How to Cite

    Katayama, H., Fujii, T., & Hatakenaka, N. (2018). Theory of a quantum artificial neuron based on superconducting devices. International Journal of Engineering & Technology, 7(3.29), 150-152. https://doi.org/10.14419/ijet.v7i3.29.18546

    Received date: 2018-08-29

    Accepted date: 2018-08-29

    Published date: 2018-08-24