Computing with fiber-optics solitons

Optical solitons, discovered in optical fibers fifty years ago, have long been celebrated as robust manifestations of nonlinear wave physics. Initially conceived as candidates for long-haul communications, their role has since evolved toward a broader landscape of nonlinear dynamics and ultrafast photonics. In one of their most recent applications, they have emerged as computational blocks for optical machine learning. Nonlinear fiber dynamics naturally generate high-dimensional feature spaces, robust nonlinear transformations, and femtosecond-scale processing speeds, properties that electronics cannot match.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-28
DOI
https://doi.org/10.1051/photon/202513465/pdf
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Computing with fiber-optics solitons

Springer Link (Chiba Institute of Technology)
Neural Networks and Reservoir Computing
article

Computing with fiber-optics solitons

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Abstract

Optical solitons, discovered in optical fibers fifty years ago, have long been celebrated as robust manifestations of nonlinear wave physics. Initially conceived as candidates for long-haul communications, their role has since evolved toward a broader landscape of nonlinear dynamics and ultrafast photonics. In one of their most recent applications, they have emerged as computational blocks for optical machine learning. Nonlinear fiber dynamics naturally generate high-dimensional feature spaces, robust nonlinear transformations, and femtosecond-scale processing speeds, properties that electronics cannot match.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 20%
Neural Networks and Reservoir Computing
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Computing with fiber-optics solitons · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS