# Computational performance at the edge-of-chaos in the spin-wave interference-based physical reservoir computing

https://mdr.nims.go.jp/datasets/314f07ae-6188-4c87-ac8d-0948aff3621f

## File

- [Computational Performance at the Edge-of-Chaos in the Spin-Wave Interferencebased Physical Reservoir Computing.pdf](https://mdr.nims.go.jp/filesets/cacd7f7f-eb40-4482-9bfa-01308802d04f/download) ([Detail](https://mdr.nims.go.jp/filesets/cacd7f7f-eb40-4482-9bfa-01308802d04f.md))

## Id

314f07ae-6188-4c87-ac8d-0948aff3621f

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2026-05-16T01:44:49.690340Z

## Updated at

2026-05-17T23:42:49.022510Z

## Published at

2026-05-18T01:23:33.756598Z

## Doi

https://doi.org/10.48505/nims.6297

## First published url

https://doi.org/10.35848/1347-4065/ae5da2

## Date published

2026-04-30

## Recorded date published

2026-4-30

## Resource type

journal_article

## Manuscript type

accepted_manuscript

## Collection



## Title

- title: Computational performance at the edge-of-chaos in the spin-wave interference-based
    physical reservoir computing
  title_type: original
  lang: en

## Description

- description: The edge of chaos (EoC) refers to a dynamical regime near the boundary
    between ordered and chaotic states, optimizing information processing in nonlinear
    dynamical systems. In physical reservoir computing (PRC), the EoC is crucial for
    high computational performance. Spin-wave interference–based PRC (SWI-PRC) demonstrated
    high performance, but the EoC's role hasn't been experimentally clarified. This
    study investigates a SWI-PRC system on a YIG single crystal, tuned by external
    magnetic field and input pulse interval adjustments. Using phase-space reconstruction
    and Lyapunov analysis, we evaluate the maximum Lyapunov exponent (λ_max) and identify
    the EoC operating point. Additionally, we find an additional optimal regime on
    the chaotic side of the transition (the edge of chaos on the chaotic side). Performance
    evaluation through nonlinear waveform transformation tasks reveals up to 97% accuracy
    near the EoC, linking the λ_max to computational performance. These findings suggest
    that high performance in SWI-PRC stems from dynamically optimized points, offering
    design insights to enhance information-processing capabilities in edge computing
    applications.
  description_type: abstract
  lang: und

## Creator

- name: Maki Nishimura
  role: author
  orcid: https://orcid.org/0009-0005-5265-7180
  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: Wataru NAMIKI
  role: author
  orcid: https://orcid.org/0000-0003-4053-7366
  organization: National Institute for Materials Science
- name: Sota Hikasa
  role: author
  organization: National Institute for Materials Science
- name: Ryo Iguchi
  role: author
  orcid: https://orcid.org/0000-0002-8112-4608
  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
- name: Takashi TSUCHIYA
  role: author
  orcid: https://orcid.org/0000-0002-6950-6160
  organization: National Institute for Materials Science

## Contact agent



## Publisher

organization: IOP Publishing

## Managing organization



## Keyword

- subject: reservoir computing
  schema: not_defined
- subject: spin wave
  schema: not_defined
- subject: edge of chaos
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/
  date_licensed: 2026-04-29

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: Japanese Journal of Applied Physics
  issn: '13474065'
  volume: '65'
  issue: '8'
  article_number: '080903'

## Conference



## Related item



## Funding

- identifier: JPMXP1225NM5247
  funder_name: Ministry of Education, Culture, Sports, Science and Technology
- identifier: '20241712'
  funder_name: Japan Society for the Promotion of Science

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



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## Fileset

- id: cacd7f7f-eb40-4482-9bfa-01308802d04f
  filename: Computational Performance at the Edge-of-Chaos in the Spin-Wave Interferencebased
    Physical Reservoir Computing.pdf
  content_type: application/pdf
  size: 7877451
  md5: 8455f5e7bacdae6b491ce4d9786a4ed1

## Thumbnail

fileset_id: cacd7f7f-eb40-4482-9bfa-01308802d04f
filename: Computational Performance at the Edge-of-Chaos in the Spin-Wave Interferencebased
  Physical Reservoir Computing.pdf