Probabilistic computing based on spintronics technology

Shunsuke Fukami, William A. Borders, Ahmed Z. Pervaiz, Kerem Y. Camsari, Supriyo Datta, Hideo Ohno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There have been increasing demands on realizing computing hardware capable of addressing complex tasks that classical von-Neumann computers cannot readily execute. Here we show an unconventional computing scheme-probabilistic computing-based on a spintronics technology, which is promising to address various computationally hard problems. We present a proof-of-concept of the probabilistic computer with stochastic magnetic tunnel junctions, that can perform optimization problems at room temperature.

Original languageEnglish
Title of host publication2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages21-22
Number of pages2
ISBN (Electronic)9781728197357
DOIs
Publication statusPublished - 2020 Jun
Event2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020 - Honolulu, United States
Duration: 2020 Jun 132020 Jun 14

Publication series

Name2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020

Conference

Conference2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020
CountryUnited States
CityHonolulu
Period20/6/1320/6/14

Keywords

  • Magnetic tunnel junction
  • Optimization problem
  • Probabilistic computing
  • Spintronics

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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