Physics-Informed Machine Learning for Modeling Dual-Polarization Single-Mode Fiber Transmission with Statistical Polarization Rotations
We employ physics-informed machine learning to investigate nonlinear fiber transmission with statistical polarization rotations. Our approach discerns difference between nonlinear factors of self-polarization modulation and cross-polarization modulation, elucidating applicable range of Manakov equation.
Authors
- Takumi Takahashi (ORCID: https://orcid.org/0000-0002-5141-6247)
- Takashi Taniguchi (ORCID: https://orcid.org/0000-0002-1467-3105)
- Tadashi Wadayama
- Koji Igarashi (ORCID: https://orcid.org/0000-0002-0806-7133)
- Koichiro Yamamoto
Institutions
- Nagoya Institute of Technology (JP)
- The University of Osaka (JP)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11110588
- Primary Topic
- Photonic and Optical Devices
- Type
- article
- Field-Weighted Citation Impact
- 0.00