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Neuro-Base Josephson Flip-Flop

Yoshinao MIZUGAKI, Koji NAKAJIMA, Tsutomu YAMASHITA

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Summary :

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.

Publication
IEICE TRANSACTIONS on Electronics Vol.E78-C No.5 pp.531-534
Publication Date
1995/05/25
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section PAPER (Special Issue on Superconducting Electronics and Its Applications)
Category
Superconducting integrated circuits

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