From stochasticity to functionality: harnessing magnetic domain walls for probabilistic and neuromorphic computing

Thomas J. Hayward; Ian T. Vidamour; Matthew O. A. Ellis; Alexander Welbourne; Richard W.S. Dawidek; Thomas J Broomhall; Morgan Chambard; Marie Drouhin; Alyshia M. Keogh; Aidan Mullen; Stephan J. Kyle; Mohanad Al Mamoori; Paul W. Fry; Nina-Juliane Steinke; Jos F. K. Cooper; Francesco Maccherozzi; Sarnjeet Dhesi; Lucia Aballe; Jordi Prat; Eleni Vasilaki; Dan Allwood

doi:10.1117/12.2594691

1 August 2021 From stochasticity to functionality: harnessing magnetic domain walls for probabilistic and neuromorphic computing

Thomas J. Hayward, Ian T. Vidamour, Matthew O. A. Ellis, Alexander Welbourne, Richard W.S. Dawidek, Thomas J Broomhall, Morgan Chambard, Marie Drouhin, Alyshia M. Keogh, Aidan Mullen, Stephan J. Kyle, Mohanad Al Mamoori, Paul W. Fry, Nina-Juliane Steinke, Jos F. K. Cooper, Francesco Maccherozzi, Sarnjeet Dhesi, Lucia Aballe, Jordi Prat, Eleni Vasilaki, Dan Allwood

Author Affiliations +

Proceedings Volume 11805, Spintronics XIV; 118051E (2021) https://doi.org/10.1117/12.2594691
Event: SPIE Nanoscience + Engineering, 2021, San Diego, California, United States

Abstract

Domain walls (DWs) in magnetic nanowires have been of intense interest due to proposals to use them to represent data in logic and memory devices. However, these have been challenging to realise because DWs behaviour is highly stochastic, making conventional digital devices unreliable. Here, we show how embracing DW stochasticity as a functional feature can facilitate novel computational devices. We first present results showing how integrating tuneable stochastic DW pinning into DW logic networks allows “stochastic computing”, where numbers are represented by random bit streams and individual logic gates perform complex mathematical operations. We then go on to demonstrate how DW stochasticity can be used to facilitate neuromorphic devices: (a) a neural network where the probabilities of DW propagation through nanowires perform the roles of synaptic weights and (b) a reservoir computing platform based on the emergent dynamics of DWs within an extended nanowire ensemble.

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Thomas J. Hayward, Ian T. Vidamour, Matthew O. A. Ellis, Alexander Welbourne, Richard W.S. Dawidek, Thomas J Broomhall, Morgan Chambard, Marie Drouhin, Alyshia M. Keogh, Aidan Mullen, Stephan J. Kyle, Mohanad Al Mamoori, Paul W. Fry, Nina-Juliane Steinke, Jos F. K. Cooper, Francesco Maccherozzi, Sarnjeet Dhesi, Lucia Aballe, Jordi Prat, Eleni Vasilaki, and Dan Allwood "From stochasticity to functionality: harnessing magnetic domain walls for probabilistic and neuromorphic computing", Proc. SPIE 11805, Spintronics XIV, 118051E (1 August 2021); https://doi.org/10.1117/12.2594691

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KEYWORDS

Magnetism

Stochastic processes

Nanowires

Logic

Computing systems

Logic devices

Numerical simulations

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