Presentation Information

[ThH1-3]Physics-informed Machine Learning for Modeling Dual-polarization Single-mode Fiber Transmission with Statistical Polarization Rotations

○Keisho Yamamoto1, Takashi Taniguchi1, Takumi Takahashi1, Tadashi Wadayama2, Koji Igarashi1 (1Osaka Univ., 2Nagoya Institute of Technology)

Keywords:

Artificial intelligence and machine learning for optical transmission systems and subsystems

We employ physics-informed machine learning to investigate nonlinear fiber transmission. Our approach discerns difference between nonlinear factors of self-polarization modulation and cross-polarization modulation, elucidating applicable range of Manakov equation.