SuperMind: A survey of the potential of superconducting electronics for neuromorphic computing

Published

March 30, 2022

Author(s)

Michael Schneider, Emily Toomey, Graham Rowlands, Jeff Shainline, Paul Tschirhart, Ken Segall

Abstract

Neuromorphic computing is a broad eld that uses biological inspiration to address computing design. It is being pursued in many hardware technologies both novel and conventional. Here we discuss the use of superconductive electronics for neuromorphic computing and several reasons why superconducting electronics is an interesting technology within which to design a neuromorphic computing system. For example, the natural spiking behavior in Josephson junctions and the ability to transmit short voltage spikes without the resistive capacitive time constants that typically hinder spike based computing. We will review the work that has been done on biologically inspired superconductive devices, circuits and architectures and also discuss the scaling potential of these demonstrations.

Citation

Superconductor Science and Technology

Volume

35

Issue

5

Pub Type

Journals

Download Paper

https://doi.org/10.1088/1361-6668/ac4cd2

Local Download

Keywords

Neuromorphic computing, superconducting electronics, Josephson junctions

Citation

Schneider, M. , Toomey, E. , Rowlands, G. , Shainline, J. , Tschirhart, P. and Segall, K. (2022), SuperMind: A survey of the potential of superconducting electronics for neuromorphic computing, Superconductor Science and Technology, [online], https://doi.org/10.1088/1361-6668/ac4cd2, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932644 (Accessed April 27, 2024)