Probabilistic computing based on spintronics technology

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

doi:10.1109/SNW50361.2020.9131622

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 proceeding › Conference contribution › peer-review

2 Citations (Scopus)

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 language	English
Title of host publication	2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	21-22
Number of pages	2
ISBN (Electronic)	9781728197357
DOIs	https://doi.org/10.1109/SNW50361.2020.9131622
Publication status	Published - 2020 Jun
Event	2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020 - Honolulu, United States Duration: 2020 Jun 13 → 2020 Jun 14

Publication series

Name	2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020

Conference

Conference	2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020
Country/Territory	United States
City	Honolulu
Period	20/6/13 → 20/6/14

Keywords

Magnetic tunnel junction
Optimization problem
Probabilistic computing
Spintronics

Access to Document

10.1109/SNW50361.2020.9131622

Cite this

Fukami, S., Borders, W. A., Pervaiz, A. Z., Camsari, K. Y., Datta, S., & Ohno, H. (2020). Probabilistic computing based on spintronics technology. In 2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020 (pp. 21-22). Article 9131622 (2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SNW50361.2020.9131622

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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.",

keywords = "Magnetic tunnel junction, Optimization problem, Probabilistic computing, Spintronics",

author = "Shunsuke Fukami and Borders, {William A.} and Pervaiz, {Ahmed Z.} and Camsari, {Kerem Y.} and Supriyo Datta and Hideo Ohno",

note = "Funding Information: ACKNOWLEDGMENTS A portion of this work has been supported by ImPACT Program of CSTI, JST-CREST JPMJCR19K3, JSPS KAKENHI 19J12206, Cooperative Research Projects of RIEC, and ASCENT, one of six centers in JUMP, an SRC program sponsored by DARPA. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020 ; Conference date: 13-06-2020 Through 14-06-2020",

year = "2020",

month = jun,

doi = "10.1109/SNW50361.2020.9131622",

language = "English",

series = "2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "21--22",

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Fukami, S, Borders, WA, Pervaiz, AZ, Camsari, KY, Datta, S & Ohno, H 2020, Probabilistic computing based on spintronics technology. in 2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020., 9131622, 2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020, Institute of Electrical and Electronics Engineers Inc., pp. 21-22, 2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020, Honolulu, United States, 20/6/13. https://doi.org/10.1109/SNW50361.2020.9131622

Probabilistic computing based on spintronics technology. / Fukami, Shunsuke; Borders, William A.; Pervaiz, Ahmed Z. et al.
2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 21-22 9131622 (2020 IEEE Silicon Nanoelectronics Workshop, SNW 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Fukami, Shunsuke

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AU - Pervaiz, Ahmed Z.

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AU - Datta, Supriyo

AU - Ohno, Hideo

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Probabilistic computing based on spintronics technology

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