Superconducting disordered neural networks for neuromorphic processing with fluxons

Goteti, Uday S.; Cai, Han; LeFebvre, Jay C.; Cybart, Shane A.; Dynes, Robert C.

doi:10.1126/sciadv.abn4485

Superconducting disordered neural networks for neuromorphic processing with fluxons

Journal Article · Fri Apr 22 00:00:00 EDT 2022 · Science Advances

DOI:https://doi.org/10.1126/sciadv.abn4485· OSTI ID:1904353

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Univ. of California, San Diego and Riverside, CA (United States); OSTI
Univ. of California, Riverside, CA (United States)
Univ. of California, San Diego, CA (United States)

In superconductors, magnetic fields are quantized into discrete fluxons (flux quanta Φ₀), made of microscopic circulating supercurrents. We introduce a multiterminal synapse network comprising a disordered array of superconducting loops with Josephson junctions. The loops can trap fluxons defining memory, while the junctions allow their movement between loops. Dynamics of fluxons through such a disordered system through a complex reconfigurable energy landscape represents brain-like spiking information flow. In this work, we experimentally demonstrate a three-loop network using YBa₂Cu₃O₇ _–δ-based superconducting loops and Josephson junctions, which exhibit stable memory configurations of trapped flux in loops that determine the rate of flow of fluxons through synaptic connections. The memory states are, in turn, affected by the applied input signals but can also be externally configured electrically through control current/feedback terminals. These results establish a previously unexplored, biologically similar architectural approach to neuromorphic computing that is scalable while dissipating energy of atto Joules/spike.

View Accepted Manuscript (DOE)

Research Organization:: Energy Frontier Research Centers (EFRC) (United States). Quantum Materials for Energy Efficient Neuromorphic Computing (Q-MEEN-C); Univ. of California, San Diego, CA (United States)

Sponsoring Organization:: National Science Foundation (NSF); US Air Force Office of Scientific Research (AFOSR); US Army Research Office (ARO); US Department of the Navy, Office of Naval Research (ONR); USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: SC0019273

OSTI ID:: 1904353

Journal Information:: Science Advances, Journal Name: Science Advances Journal Issue: 16 Vol. 8; ISSN 2375-2548

Publisher:: AAASCopyright Statement

Country of Publication:: United States

Language:: English

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