Time-space-wavelength multiplexed photonic tensor core using WDM SiGe EAM array chiplets

Photonic neural networks (PNNs) are projected to be the next-generation AI platform, driving significant advances in compute energy and area efficiency by leveraging light's parallelism across space, wavelength, and time. Here we present a photonic integrated tensor core (PITC) architecture that combines an arrayed waveguide grating router (AWGR)-enabled PNN with a SiGe electro-absorption modulator (EAM) array following a chiplet-based silicon photonic (SiPho) accelerator setup for multi-wavelength data and weight encoding. The 8 × 8 PITC architectural layout was experimentally validated in two AI benchmark workloads at 20 Gbaud, successfully classifying the IRIS and MNIST datasets yielding Cohen's kappa-scores of 0.8438 and 0.7421, respectively.