# Opto-magnonic reservoir computing coupling nonlinear interfered spin wave and visible light switching

https://mdr.nims.go.jp/datasets/2e79b7a9-290f-4023-8c8e-6cfab6b2c901

## File

- [20240224_Namiki_etal_submitted.pdf](https://mdr.nims.go.jp/filesets/b93e9ff7-8d24-4873-9d73-8f3bac0b5e6e/download) ([Detail](https://mdr.nims.go.jp/filesets/b93e9ff7-8d24-4873-9d73-8f3bac0b5e6e.md))

## Id

2e79b7a9-290f-4023-8c8e-6cfab6b2c901

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2024-08-02T16:40:16.421889Z

## Updated at

2024-08-05T03:30:41.180356Z

## Published at

2024-08-05T03:30:41.245551Z

## Doi

https://doi.org/10.48505/nims.4622

## First published url

https://doi.org/10.1016/j.mtphys.2024.101465

## Date published

2024-05-22

## Recorded date published

2024-6

## Resource type

journal_article

## Manuscript type

authors_original

## Collection



## Title

- title: Opto-magnonic reservoir computing coupling nonlinear interfered spin wave
    and visible light switching
  title_type: original
  lang: en

## Description

- description: 'Physical reservoir computing is a promising approach to realize high-performance
    artificial intelligence systems utilizing physical devices. Recently, it has been
    experimentally found that nonlinear interfered spin wave multidetection shows
    excellent performance for processing nonlinear time-series data due to its outstanding
    features: nonlinearity, short-term memory, and the ability to map in high dimensional
    space. However, said performance is considerably inferior to reservoir computing
    utilizing an optical circuit with a large volume. Herein, we develop reservoir
    computing with nonlinear interfered spin wave coupled with light switching, namely
    optomagnonic reservoir computing. The spin wave was modulated through a crystal
    field transition that occurred in two different Fe3+ sites of Y3Fe5O12 by visible
    light switching, and it was found that the spin wave modulated by visible light
    switching dramatically reduced normalized mean square errors to 4.96 × 10-3, 0.163,
    and 3.66 × 10-5 for NARMA2, NARMA10, and second-order nonlinear dynamical equation
    tasks. Said excellent performance results from the strong nonlinearity caused
    by chaos and large memory capacity induced by reservoir states diversified by
    visible light switching.'
  description_type: abstract
  lang: und

## Creator

- name: Wataru Namiki
  role: author
  orcid: https://orcid.org/0000-0003-4053-7366
  organization: National Institute for Materials Science
- name: Yu Yamaguchi
  role: author
  organization: National Institute for Materials Science
- name: Daiki Nishioka
  role: author
  orcid: https://orcid.org/0000-0002-3369-7700
  organization: National Institute for Materials Science
- name: Takashi Tsuchiya
  role: author
  orcid: https://orcid.org/0000-0002-6950-6160
  organization: National Institute for Materials Science
- name: Kazuya Terabe
  role: author
  orcid: https://orcid.org/0000-0003-3988-3456
  organization: National Institute for Materials Science

## Contact agent



## Publisher

organization: Elsevier BV

## Managing organization



## Keyword

- subject: Reservoir computing
  schema: not_defined
- subject: Spin wave
  schema: not_defined
- subject: Nonlinear interference
  schema: not_defined
- subject: Light switching
  schema: not_defined

## Rights

- identifier: http://rightsstatements.org/vocab/InC/1.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Materials Today Physics
  issn: '25425293'
  volume: '45'
  article_number: '101465'

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## Fileset

- id: b93e9ff7-8d24-4873-9d73-8f3bac0b5e6e
  filename: 20240224_Namiki_etal_submitted.pdf
  content_type: application/pdf
  size: 6109978
  md5: fe6cd4278cc8a6e470f4c33d7f7e9d62

## Thumbnail

fileset_id: b93e9ff7-8d24-4873-9d73-8f3bac0b5e6e
filename: 20240224_Namiki_etal_submitted.pdf