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

Publication Date: 3/8/2020

Event: OFC 2020

Reference: Th4C.6:1-3, 2020

Authors: Chaoran Huang, Princeton University; Shinsuke Fujisawa, NEC Laboratories America, Inc.; Thomas Ferreira de Lima, Princeton University; Alexander N Tait, Princeton University; Eric Blow, Princeton University; Yue Tian, NEC Laboratories America, Inc.; Simon Bilodeau, Princeton University; Aashu Jha, Princeton University; Fatih Yaman, NEC Laboratories America, Inc.; Hussam G. Batshon, NEC Laboratories America, Inc.; Bhavin J. Shastri, Princeton University, Queen’s University; Yoshihisa Inada, NEC Corporation; Ting Wang, NEC Laboratories America, Inc.; Paul Pruncal, Princeton University

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.

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