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



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


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.
Superconductor Science and Technology


Neuromorphic computing, superconducting electronics, Josephson junctions


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],, (Accessed May 19, 2024)


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Created March 30, 2022, Updated June 8, 2023