IEICE Transactions on Electronics
Online ISSN : 1745-1353
Print ISSN : 0916-8524
Special Section on Leading-Edge Technology of Superconductor Large-Scale Integrated Circuits
Neuron Circuit Using Coupled SQUIDs Gate with Flat Output Characteristics for Superconducting Neural Network
Takeshi ONOMIKoji NAKAJIMA
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2014 Volume E97.C Issue 3 Pages 173-177

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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 2.5kA/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.

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© 2014 The Institute of Electronics, Information and Communication Engineers
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