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PUBLICATIONS

Stochastic Single Flux Quantum Neuromorphic Computing using Magnetically Tunable Josephson Junctions

Published

Author(s)

Stephen E. Russek, Christine A. Donnelly, Michael Schneider, Burm Baek, Matthew Pufall, William Rippard, Pete Hopkins, Paul Dresselhaus, Samuel P. Benz

Abstract

Abstract— Single flux quantum (SFQ) circuits form a natural neuromorphic technology with SFQ pulses and superconducting transmission lines simulating action potentials and axons, respectively. Here we present a new component, magnetic Josephson junctions, that have a tunablility and re-configurability that was lacking from previous SFQ neuromorphic circuits. The nanoscale magnetic structure acts as a tunable synaptic constituent that modifies the junction critical current. These circuits can operate near the thermal limit where stochastic firing of the neurons is an essential component of the technology. This technology has the ability to create complex neural systems with greater than 1018 neural firings per second with less than 1 W dissipation.
Proceedings Title
2016 IEEE International Conference on Rebooting Computing (ICRC)
Conference Dates
October 17-19, 2016
Conference Location
San Diego, CA, US
Pub Type
Conferences

Download Paper

https://doi.org/10.1109/ICRC.2016.7738712
Local Download

Keywords

single flux quantum, neuromorphic, magnetic Josephson junctions
Superconducting electronics

Citation

Russek, S. , Donnelly, C. , Schneider, M. , Baek, B. , Pufall, M. , Rippard, W. , Hopkins, P. , Dresselhaus, P. and Benz, S. (2016), Stochastic Single Flux Quantum Neuromorphic Computing using Magnetically Tunable Josephson Junctions, 2016 IEEE International Conference on Rebooting Computing (ICRC), San Diego, CA, US, [online], https://doi.org/10.1109/ICRC.2016.7738712, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=921106 (Accessed April 19, 2024)

Created October 16, 2016, Updated April 7, 2022