Abstract
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 language | English |
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Pages (from-to) | 531-534 |
Number of pages | 4 |
Journal | IEICE Transactions on Electronics |
Volume | E78-C |
Issue number | 5 |
Publication status | Published - 1995 May 1 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering