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Neural-like computing with populations of superparamagnetic basis functions

Author

Listed:
  • Alice Mizrahi

    (Université Paris-Saclay
    Université Paris-Saclay
    National Institute of Standards and Technology)

  • Tifenn Hirtzlin

    (Université Paris-Saclay)

  • Akio Fukushima

    (National Institute of Advanced Industrial Science and Technology (AIST))

  • Hitoshi Kubota

    (National Institute of Advanced Industrial Science and Technology (AIST))

  • Shinji Yuasa

    (National Institute of Advanced Industrial Science and Technology (AIST))

  • Julie Grollier

    (Université Paris-Saclay)

  • Damien Querlioz

    (Université Paris-Saclay)

Abstract

In neuroscience, population coding theory demonstrates that neural assemblies can achieve fault-tolerant information processing. Mapped to nanoelectronics, this strategy could allow for reliable computing with scaled-down, noisy, imperfect devices. Doing so requires that the population components form a set of basis functions in terms of their response functions to inputs, offering a physical substrate for computing. Such a population can be implemented with CMOS technology, but the corresponding circuits have high area or energy requirements. Here, we show that nanoscale magnetic tunnel junctions can instead be assembled to meet these requirements. We demonstrate experimentally that a population of nine junctions can implement a basis set of functions, providing the data to achieve, for example, the generation of cursive letters. We design hybrid magnetic-CMOS systems based on interlinked populations of junctions and show that they can learn to realize non-linear variability-resilient transformations with a low imprint area and low power.

Suggested Citation

  • Alice Mizrahi & Tifenn Hirtzlin & Akio Fukushima & Hitoshi Kubota & Shinji Yuasa & Julie Grollier & Damien Querlioz, 2018. "Neural-like computing with populations of superparamagnetic basis functions," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03963-w
    DOI: 10.1038/s41467-018-03963-w
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    Cited by:

    1. Takuya Funatsu & Shun Kanai & Jun’ichi Ieda & Shunsuke Fukami & Hideo Ohno, 2022. "Local bifurcation with spin-transfer torque in superparamagnetic tunnel junctions," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    2. 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).
    3. Kang Wang & Yiou Zhang & Vineetha Bheemarasetty & Shiyu Zhou & See-Chen Ying & Gang Xiao, 2022. "Single skyrmion true random number generator using local dynamics and interaction between skyrmions," Nature Communications, Nature, vol. 13(1), pages 1-8, December.

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