Versatile neuromorphic photonic processor for next-generation optical communication systems

♙ SILVA, Luis C.; MARCIANO, Pablo R.; STAFFOLI, Emiliano; SEGATTO, Marcelo E. V.; PAVESI, Lorenzo

Tipos de publicação: Artigo

Building upon an 8-tap delayed silicon-on-insulator (SOI) photonic neural network (PNN) pre-equalizer validated at 10-GHz bandwidth orthogonal frequency-division multiplexing (OFDM) intensity-modulation direct detection (IMDD), we experimentally probe the operational boundaries of this architecture by scaling to 20-GHz bandwidth operation and 16-QAM modulation. We quantify performance across 5/10/20-GHz OFDM bandwidths and QAM4/QAM16, approaching the sampling limit imposed by the fixed 25-ps tap spacing. In this way, we experimentally demonstrate its applicability to preserve the signal integrity near the Nyquist limit with improvements in all tested configurations.