# Limits of nonlinear and dispersive fiber propagation for an optical fiber-based extreme learning machine

arXiv: https://arxiv.org/abs/2503.03649 · HTML: https://mlsanity.com/paper/2503.03649/

## Key facts

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- First posted on arXiv 5 Mar 2025.

## Abstract (arXiv)

We report a generalized nonlinear Schr"odinger equation simulation model of an extreme learning machine (ELM) based on optical fiber propagation. Using the MNIST handwritten digit dataset as a benchmark, we study how accuracy depends on propagation dynamics, as well as parameters governing spectral encoding, readout, and noise. For this dataset and with quantum noise limited input, test accuracies of : over 91% and 93% are found for propagation in the anomalous and normal dispersion regimes respectively. Our results also suggest that quantum noise on the input pulses introduces an intrinsic penalty to ELM performance.