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PIDT: Physics-Informed Digital Twin for Optical Fiber Parameter Estimation

Signal Processing 2026-01-13 v1 Machine Learning Optics
Authors: Zicong Jiang , Magnus Karlsson , Erik Agrell , Christian Häger
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Abstract

We propose physics-informed digital twin (PIDT): a fiber parameter estimation approach that combines a parameterized split-step method with a physics-informed loss. PIDT improves accuracy and convergence speed with lower complexity compared to previous neural operators.

Keywords

fourier transform

Cite

@article{arxiv.2601.07436,
  title  = {PIDT: Physics-Informed Digital Twin for Optical Fiber Parameter Estimation},
  author = {Zicong Jiang and Magnus Karlsson and Erik Agrell and Christian Häger},
  journal= {arXiv preprint arXiv:2601.07436},
  year   = {2026}
}

Comments

The paper will be appeared in Optical Fiber Communications Conference and Exhibition (OFC) 2026

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R2 v1 2026-07-01T09:00:33.975Z