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Processing-Response Dependence on the On-Chip Readout Positions in Spin-Wave Reservoir Computing

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Neural Information Processing (ICONIP 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 13110))

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Abstract

This paper reports and discusses the processing response dependence on a spin-wave reservoir chip, a natural computing device, to present one of the important steps to design a spin-wave reservoir computing hardware. As an example, we deal with a sinusoidal-square wave distinction task, where signals with a certain duration switch to each other at random. Observation of the transient response provides us with information useful for determining chip size and other parameters. Accumulation of this type of investigations will elucidate how we should design a spin-wave reservoir chip.

A. Hirose—This work was supported in part by the New Energy and Industrial Technology Development Organization (NEDO) under Project JPNP16007, and in part by Tohoku University RIEC Cooperative Research Project.

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Acknowledgment

The authors thank Dr. T.Yamane, Dr. J.B.Heroux, Dr. H.Numata, and D.Nakano of IBM–Research Tokyo and Dr. G.Tanaka of the University of Tokyo for their helpful discussion.

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Authors and Affiliations

  1. Department of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo, 153-8656, Japan

    Takehiro Ichimura, Ryosho Nakane & Akira Hirose

Authors
  1. Takehiro Ichimura
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  2. Ryosho Nakane
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  3. Akira Hirose
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Corresponding author

Correspondence to Akira Hirose .

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Editors and Affiliations

  1. Sampoerna University, Jakarta, Indonesia

    Teddy Mantoro

  2. Kyungpook National University, Daegu, Korea (Republic of)

    Minho Lee

  3. Sampoerna University, Jakarta, Indonesia

    Media Anugerah Ayu

  4. Murdoch University, Murdoch, WA, Australia

    Kok Wai Wong

  5. Universitas Indonesia, Depok, Indonesia

    Achmad Nizar Hidayanto

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Ichimura, T., Nakane, R., Hirose, A. (2021). Processing-Response Dependence on the On-Chip Readout Positions in Spin-Wave Reservoir Computing. In: Mantoro, T., Lee, M., Ayu, M.A., Wong, K.W., Hidayanto, A.N. (eds) Neural Information Processing. ICONIP 2021. Lecture Notes in Computer Science(), vol 13110. Springer, Cham. https://doi.org/10.1007/978-3-030-92238-2_25

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  • DOI: https://doi.org/10.1007/978-3-030-92238-2_25

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  • Print ISBN: 978-3-030-92237-5

  • Online ISBN: 978-3-030-92238-2

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