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Stochastic single flux quantum neuromorphic computing using magnetically tunable Josephson junctions
November 12, 2016 Β· Declared Dead Β· π International Conference on Rebooting Computing
"No code URL or promise found in abstract"
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Authors
S. E. Russek, C. A. Donnelly, M. L. Schneider, B. Baek, M. R. Pufall, W. H. Rippard, P. F. Hopkins, P. D. Dresselhaus, S. P. Benz
arXiv ID
1612.09292
Category
cond-mat.supr-con
Cross-listed
cs.NE
Citations
27
Venue
International Conference on Rebooting Computing
Last Checked
3 months ago
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 10^21 neural firings per second with approximately 1 W dissipation.
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