Multi-channel optical neuromorphic processor for frequency-multiplexed signals

Mariia Sorokina*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Here we develop the first optical neuromorphic processor for frequency-multiplexed and multi-channel signals and demonstrate its application for orthogonal frequency-division multiplexing and wavelength-division multiplexing. The presented architecture supports multichannel operation through incorporation of the optical Fourier transform and dispersion-managed fiber echo state network analogue enabling processing of dual-quadrature high bandwidth signals. We demonstrate applicability of the design for prediction and equalization tasks. The proposed technology paves the way to multi-channel neuromorphic signal processing.
Original languageEnglish
Article number014002
JournalJournal of Physics: Photonics
Issue number1
Publication statusPublished - 15 Dec 2020

Bibliographical note

Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Funding: This project was supported by the Royal Academy of Engineering under the Research Fellowship scheme


  • Neuromorphic computing
  • Non-linear optics
  • Signal processing


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  • Multi-channel optical neuromorphic processing

    Sorokina, M., 24 Jul 2022, Signal Processing in Photonic Communications, SPPCom 2022. SpTu1J.5. (Optics InfoBase Conference Papers).

    Research output: Chapter in Book/Published conference outputConference publication

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