Digital and plasmonic artificial neural networks-Improved nonlinear signal processing at high speed and low complexity.

ABSTRACT: Transmission at ever higher data rates increasingly demands more advanced digital signal processing techniques, raising both power consumption and operational costs. Here, we introduce a photonic/plasmonic artificial neural network (ANN) using plasmonic modulators to directly mitigate nonlinear signal distortions carried by an optical carrier. This first-of-its-kind plasmonic ANN achieves an ultracompact footprint and high-speed operation and markedly reduces the need for electronic processing. We compare our plasmonic ANN against a traditional digital feed-forward equalizer and a Volterra series, as well as the corresponding digital ANN. The results demonstrate that an astonishingly small ANN outperforms classical equalizers by attaining higher SNR at smaller computational effort. While t

SUBMITTER: Blatter T 

PROVIDER: S-EPMC12617482 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature