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

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.

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

References in corpus (2)

• DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
• Principle-driven Fiber Transmission Model based on PINN Neural Network