We present a superconducting neural network which functions as an RS f
lip-flop. We employ a coupled-SQUID as a neuron, which is a combinatio
n of a single-junction SQUID and a double-junction SQUID. A resistor i
s used as a fixed synapse. The network consists of two neurons and two
synapses. The operation of the network is simulated under the junctio
n current density of 100 kA/cm(2). The result shows that the network i
s operated as an RS flip-flop with clock speed capability up to 50 GHz
.