Neuro-base Josephson flip-flop

Yoshinao Mizugaki, Koji Nakajima, Tsutomu Yamashita

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


We present a superconducting neural network which functions as an RS flip-flop. We employ a coupled-SQUID as a neuron, which is a combination of a single-junction SQUID and a double-junction SQUID. A resistor is used as a fixed synapse. The network consists of two neurons and two synapses. The operation of the network is simulated under the junction current density of 100 kA/cm2. The result shows that the network is operated as an RS flip-flop with clock speed capability up to 50 GHz.

Original languageEnglish
Pages (from-to)531-534
Number of pages4
JournalIEICE Transactions on Electronics
Issue number5
Publication statusPublished - 1995 May 1

ASJC Scopus subject areas

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


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