Open AccessTheory of a quantum artificial neuron based on superconducting devices
Author(s) -
Haruna Katayama,
Toshiyuki Fujii,
Noriyuki Hatakenaka
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.29.18546
Subject(s) - squid , qubit , artificial neuron , superconductivity , physics , quantum computer , quantum , sigmoid function , function (biology) , quantum mechanics , condensed matter physics , optoelectronics , computer science , biology , artificial intelligence , artificial neural network , ecology , evolutionary biology
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.