Synaptic weighting in single flux quantum neuromorphic computing.

IF 3.9 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Scientific Reports Pub Date : 2020-01-22 DOI:10.1038/s41598-020-57892-0

M L Schneider, C A Donnelly, I W Haygood, A Wynn, S E Russek, M A Castellanos-Beltran, P D Dresselhaus, P F Hopkins, M R Pufall, W H Rippard

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引用次数: 18

Abstract

Josephson junctions act as a natural spiking neuron-like device for neuromorphic computing. By leveraging the advances recently demonstrated in digital single flux quantum (SFQ) circuits and using recently demonstrated magnetic Josephson junction (MJJ) synaptic circuits, there is potential to make rapid progress in SFQ-based neuromorphic computing. Here we demonstrate the basic functionality of a synaptic circuit design that takes advantage of the adjustable critical current demonstrated in MJJs and implement a synaptic weighting element. The devices were fabricated with a restively shunted Nb/AlO_x-Al/Nb process that did not include MJJs. Instead, the MJJ functionality was tested by making multiple circuits and varying the critical current, but not the external shunt resistance, of the oxide Josephson junction that represents the MJJ. Experimental measurements and simulations of the fabricated circuits are in good agreement.

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单通量量子神经形态计算中的突触加权。

约瑟夫森连接是神经形态计算的天然尖峰神经元装置。通过利用最近在数字单通量量子(SFQ)电路中展示的进步和使用最近展示的磁约瑟夫森结(MJJ)突触电路，有可能在基于SFQ的神经形态计算中取得快速进展。在这里，我们展示了突触电路设计的基本功能，该电路利用了mjs中演示的可调临界电流，并实现了突触加权元件。该器件采用不含mjs的难阻分流Nb/AlOx-Al/Nb工艺制备。相反，MJJ的功能是通过制作多个电路和改变临界电流来测试的，而不是代表MJJ的氧化物约瑟夫森结的外部分流电阻。实验测量结果与仿真结果吻合良好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Scientific Reports Natural Science Disciplines-

CiteScore

7.50

自引率

4.30%

发文量

19567

审稿时长

3.9 months

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