SOA-based reservoir computing using upsampling

E Manuylovich; A E Bednyakova; D A Ivoilov; I S Terekhov; S K Turitsyn

doi:10.1364/OL.531160

SOA-based reservoir computing using upsampling

E Manuylovich
, A E Bednyakova
, D A Ivoilov
, I S Terekhov
, S K Turitsyn

Research output: Contribution to journal › Article › peer-review

10 Citations (SciVal)

Abstract

We introduce a new, to the best of our knowledge, approach to reservoir computing based on upsampling and modulation, utilizing a semiconductor optical amplifier (SOA) and photodetector as nonlinear elements without conventionally used delay loop. We demonstrated the 400-step prediction capability of the proposed scheme for the Mackey-Glass (MG) time series test.

Original language	English
Pages (from-to)	5827-5830
Number of pages	4
Journal	Optics Letters
Volume	49
Issue number	20
Early online date	7 Oct 2024
DOIs	https://doi.org/10.1364/OL.531160
Publication status	Published - 15 Oct 2024

Funding

The work of A.E.B. was supported by the Ministry of Science and Higher Education of the Russian Federation (Project No. FSUS-2021-0015). The work of D.A.I. was supported by the Russian Science Foundation (Grant No.21-42-04401). E.M. and S.K.T. acknowledge the support of the EU H2020 ITN project POSTDIGITAL (No. 860360) and the Engineering and Physical Sciences Research Council (project EP/W002868/1).

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10.1364/OL.531160

Cite this

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AU - Turitsyn, S K

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AB - We introduce a new, to the best of our knowledge, approach to reservoir computing based on upsampling and modulation, utilizing a semiconductor optical amplifier (SOA) and photodetector as nonlinear elements without conventionally used delay loop. We demonstrated the 400-step prediction capability of the proposed scheme for the Mackey-Glass (MG) time series test.

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SOA-based reservoir computing using upsampling

Abstract

Funding

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