Demonstration of photonic neural network for fiber nonlinearity compensation in long-haul transmission systems

Chaoran Huang, Shinsuke Fujisawa, Thomas Ferreira de Lima, Alexander N. Tait, Eric Blow, Yue Tian, Simon Bilodeau, Aashu Jha, Fatih Yaman, Hussam G. Batshon, Hsuan Tung Peng, Bhavin J. Shastri, Yoshihisa Inada, Ting Wang, Paul R. Prucnal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We demonstrate the experimental implementation of photonic neural network for fiber nonlinearity compensation over a 10,080 km trans-pacific transmission link. Q-factor improvement of 0.51 dB is achieved with only 0.06 dB lower than numerical simulations.

Original languageEnglish (US)
Title of host publicationOptical Fiber Communication Conference, OFC 2020
PublisherOSA - The Optical Society
ISBN (Print)9781943580712
DOIs
StatePublished - 2020
EventOptical Fiber Communication Conference, OFC 2020 - San Diego, United States
Duration: Mar 8 2017Mar 12 2017

Publication series

NameOptics InfoBase Conference Papers
VolumePart F174-OFC 2020

Conference

ConferenceOptical Fiber Communication Conference, OFC 2020
CountryUnited States
CitySan Diego
Period3/8/173/12/17

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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  • Cite this

    Huang, C., Fujisawa, S., de Lima, T. F., Tait, A. N., Blow, E., Tian, Y., Bilodeau, S., Jha, A., Yaman, F., Batshon, H. G., Peng, H. T., Shastri, B. J., Inada, Y., Wang, T., & Prucnal, P. R. (2020). Demonstration of photonic neural network for fiber nonlinearity compensation in long-haul transmission systems. In Optical Fiber Communication Conference, OFC 2020 (Optics InfoBase Conference Papers; Vol. Part F174-OFC 2020). OSA - The Optical Society. https://doi.org/10.1364/OFC-2020-Th4C.6