  We propose efficient modelling of optical fiber channel via NLSE-constrained
physics-informed neural operator without reference solutions. This method can
be easily scalable for distance, sequence length, launch power, and signal
formats, and is implemented for ultra-fast simulations of 16-QAM signal
transmission with ASE noise.
