Litcius/Paper detail

Synaptic weighting in single flux quantum neuromorphic computing

Michael L. Schneider, Christine A. Donnelly, Ian W. Haygood, Alex Wynn, Stephen E. Russek, Manuel Castellanos-Beltran, Paul D. Dresselhaus, P. F. Hopkins, Matthew R. Pufall, William H. Rippard

2020Scientific Reports33 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Neuromorphic engineeringJosephson effectComputer scienceElectronic circuitMagnetic flux quantumWeightingQuantum computerQuantumOptoelectronicsMaterials scienceNeurosciencePhysicsArtificial neural networkArtificial intelligenceSuperconductivityCondensed matter physicsBiologyAcousticsQuantum mechanicsNeural Networks and Reservoir ComputingAdvanced Memory and Neural ComputingQuantum and electron transport phenomena
Synaptic weighting in single flux quantum neuromorphic computing | Litcius