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Neuromorphic computing with nanoscale spintronic oscillators

Author

Listed:
  • Jacob Torrejon

    (Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay)

  • Mathieu Riou

    (Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay)

  • Flavio Abreu Araujo

    (Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay)

  • Sumito Tsunegi

    (National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center)

  • Guru Khalsa

    (Center for Nanoscale Science and Technology, National Institute of Standards and Technology
    Cornell University)

  • Damien Querlioz

    (Centre de Nanosciences et de Nanotechnologies, CNRS, Université Paris-Sud, Université Paris-Saclay)

  • Paolo Bortolotti

    (Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay)

  • Vincent Cros

    (Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay)

  • Kay Yakushiji

    (National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center)

  • Akio Fukushima

    (National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center)

  • Hitoshi Kubota

    (National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center)

  • Shinji Yuasa

    (National Institute of Advanced Industrial Science and Technology (AIST), Spintronics Research Center)

  • Mark D. Stiles

    (Center for Nanoscale Science and Technology, National Institute of Standards and Technology)

  • Julie Grollier

    (Unité Mixte de Physique, CNRS, Thales, Université Paris-Sud, Université Paris-Saclay)

Abstract

Spoken-digit recognition using a nanoscale spintronic oscillator that mimics the behaviour of neurons demonstrates the potential of such oscillators for realizing large-scale neural networks in future hardware.

Suggested Citation

  • Jacob Torrejon & Mathieu Riou & Flavio Abreu Araujo & Sumito Tsunegi & Guru Khalsa & Damien Querlioz & Paolo Bortolotti & Vincent Cros & Kay Yakushiji & Akio Fukushima & Hitoshi Kubota & Shinji Yuasa , 2017. "Neuromorphic computing with nanoscale spintronic oscillators," Nature, Nature, vol. 547(7664), pages 428-431, July.
    • Handle: RePEc:nat:nature:v:547:y:2017:i:7664:d:10.1038_nature23011
    DOI: 10.1038/nature23011
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    Citations

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    Cited by:

    1. Steffen Wittrock & Salvatore Perna & Romain Lebrun & Katia Ho & Roberta Dutra & Ricardo Ferreira & Paolo Bortolotti & Claudio Serpico & Vincent Cros, 2024. "Non-hermiticity in spintronics: oscillation death in coupled spintronic nano-oscillators through emerging exceptional points," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    2. Ali Momeni & Romain Fleury, 2022. "Electromagnetic wave-based extreme deep learning with nonlinear time-Floquet entanglement," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Xing Chen & Flavio Abreu Araujo & Mathieu Riou & Jacob Torrejon & Dafiné Ravelosona & Wang Kang & Weisheng Zhao & Julie Grollier & Damien Querlioz, 2022. "Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Zhiwei Chen & Wenjie Li & Zhen Fan & Shuai Dong & Yihong Chen & Minghui Qin & Min Zeng & Xubing Lu & Guofu Zhou & Xingsen Gao & Jun-Ming Liu, 2023. "All-ferroelectric implementation of reservoir computing," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    5. Lukas Körber & Christopher Heins & Tobias Hula & Joo-Von Kim & Sonia Thlang & Helmut Schultheiss & Jürgen Fassbender & Katrin Schultheiss, 2023. "Pattern recognition in reciprocal space with a magnon-scattering reservoir," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    6. Xiangpeng Liang & Yanan Zhong & Jianshi Tang & Zhengwu Liu & Peng Yao & Keyang Sun & Qingtian Zhang & Bin Gao & Hadi Heidari & He Qian & Huaqiang Wu, 2022. "Rotating neurons for all-analog implementation of cyclic reservoir computing," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    7. Klaus Raab & Maarten A. Brems & Grischa Beneke & Takaaki Dohi & Jan Rothörl & Fabian Kammerbauer & Johan H. Mentink & Mathias Kläui, 2022. "Brownian reservoir computing realized using geometrically confined skyrmion dynamics," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
    8. Jong-Guk Choi & Jaehyeon Park & Min-Gu Kang & Doyoon Kim & Jae-Sung Rieh & Kyung-Jin Lee & Kab-Jin Kim & Byong-Guk Park, 2022. "Voltage-driven gigahertz frequency tuning of spin Hall nano-oscillators," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    9. Haowen Ren & Xin Yu Zheng & Sanyum Channa & Guanzhong Wu & Daisy A. O’Mahoney & Yuri Suzuki & Andrew D. Kent, 2023. "Hybrid spin Hall nano-oscillators based on ferromagnetic metal/ferrimagnetic insulator heterostructures," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    10. Abhishek Sharma & Marcus Tze-Kiat Ng & Juan Manuel Parrilla Gutierrez & Yibin Jiang & Leroy Cronin, 2024. "A programmable hybrid digital chemical information processor based on the Belousov-Zhabotinsky reaction," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    11. Liao, Zhiqiang & Ma, Kaijie & Tang, Siyi & Sarker, Md Shamim & Yamahara, Hiroyasu & Tabata, Hitoshi, 2021. "Phase locking of ultra-low power consumption stochastic magnetic bits induced by colored noise," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    12. Yiming Sun & Tao Lin & Na Lei & Xing Chen & Wang Kang & Zhiyuan Zhao & Dahai Wei & Chao Chen & Simin Pang & Linglong Hu & Liu Yang & Enxuan Dong & Li Zhao & Lei Liu & Zhe Yuan & Aladin Ullrich & Chris, 2023. "Experimental demonstration of a skyrmion-enhanced strain-mediated physical reservoir computing system," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    13. Miguel Romera & Philippe Talatchian & Sumito Tsunegi & Kay Yakushiji & Akio Fukushima & Hitoshi Kubota & Shinji Yuasa & Vincent Cros & Paolo Bortolotti & Maxence Ernoult & Damien Querlioz & Julie Grol, 2022. "Binding events through the mutual synchronization of spintronic nano-neurons," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    14. Mitsumasa Nakajima & Katsuma Inoue & Kenji Tanaka & Yasuo Kuniyoshi & Toshikazu Hashimoto & Kohei Nakajima, 2022. "Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    15. Ke Yang & Yanghao Wang & Pek Jun Tiw & Chaoming Wang & Xiaolong Zou & Rui Yuan & Chang Liu & Ge Li & Chen Ge & Si Wu & Teng Zhang & Ru Huang & Yuchao Yang, 2024. "High-order sensory processing nanocircuit based on coupled VO2 oscillators," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    16. Zhuohui Liu & Qinghua Zhang & Donggang Xie & Mingzhen Zhang & Xinyan Li & Hai Zhong & Ge Li & Meng He & Dashan Shang & Can Wang & Lin Gu & Guozhen Yang & Kuijuan Jin & Chen Ge, 2023. "Interface-type tunable oxygen ion dynamics for physical reservoir computing," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    17. Martina Ahlberg & Sunjae Chung & Sheng Jiang & Andreas Frisk & Maha Khademi & Roman Khymyn & Ahmad A. Awad & Q. Tuan Le & Hamid Mazraati & Majid Mohseni & Markus Weigand & Iuliia Bykova & Felix Groß &, 2022. "Freezing and thawing magnetic droplet solitons," Nature Communications, Nature, vol. 13(1), pages 1-7, December.

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