Efficient optical reservoir computing for parallel data processing

Ting Bu, He Zhang, Santosh Kumar, Mingwei Jin, Prajnesh Kumar, Yuping Huang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

We propose and experimentally demonstrate an optical reservoir computing system in free space, using second-harmonic generation for nonlinear kernel functions and a scattering medium to enhance reservoir nodes interconnection. We test it for one-step and multi-step predication of Mackey–Glass time series with different input-mapping methods on a spatial light modulator. For one-step prediction, we achieve 1.8 × 10−3 normalized mean squared error (NMSE). For the multi-step prediction, we explore two different mapping methods: linear-combination and concatenation, achieving 16-step prediction with NMSE as low as 3.5 × 10−4. Robust and superior for multi-step prediction, our approach and design have potential for parallel data processing tasks such as video prediction, speech translation, and so on.

Original languageEnglish
Pages (from-to)3784-3787
Number of pages4
JournalOptics Letters
Volume47
Issue number15
DOIs
StatePublished - 1 Aug 2022

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