Neuron circuit using coupled squids gate with flat output characteristics for superconducting neural network

Takeshi Onomi, Koji Nakajima

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

We propose an improved design of a neuron circuit, using coupled SQUIDs gates, for a superconducting neural network. An activation function with step-like input vs. output characteristics is desirable for a neuron circuit to solve a combinatorial optimization problem. The proposed neuron circuit is composed of two coupled SQUIDs gates with a cascade connection, in order to obtain such characteristics. The designed neuron circuit is fabricated by a 2.5 kA/cm2 Nb/AlOx/Nb process. The operation of a fabricated neuron circuit is experimentally demonstrated. Network performance of a neural network using proposed neuron circuits is also estimated by numerical dynamic simulations.

Original languageEnglish
Pages (from-to)173-177
Number of pages5
JournalIEICE Transactions on Electronics
VolumeE97-C
Issue number3
DOIs
Publication statusPublished - 2014 Jan 1

Keywords

  • Combinatorial optimization problem
  • Neural network
  • SQUID
  • Superconducting circuit

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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