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Neural networks provide a powerful tool for applications from classificationand regression to general purpose alternative computing. Photonics have thepotential to provide enormous speed benefits over electronic and softwarenetworks, allowing such networks to be used in real-time applications at radiofrequencies. Mode division multiplexing (MDM) is one method to increase thetotal information capacity of a single on-chip waveguide and, by extension, theinformation density of the photonic neural network (PNN). This Independent Workconsists of three experimental designs ready for fabrication, each of whichinvestigates the process of expanding current PNN technology to include MDM.Experiment 1 determines the optimal waveguide geometry to couple optical powerinto different spacial modes within a single waveguide. Experiment 2 combinesMDM and previous wavelength division multiplexing (WDM) technology into asingle weight bank for use as the dendrite of a photonic neuron. Finally,Experiment 3 puts two full neurons in a folded bus, or "hairpin," networktopology to provide a platform for training calibration schemes that can beapplied to larger networks.

Mode Division Multiplexing (MDM) Weight Bank Design for Use in Photonic Neural Networks