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Fully CMOS-compatible photonic memory holding devices hold a potential in adevelopment of ultrafast artificial neural networks. Leveraging the benefits ofphotonics such as high-bandwidth, low latencies, low-energy interconnect andhigh speed they can overcome the existing limits of the electronic processing.To satisfy all these requirements a new photonic platform is proposed thatcombines low-loss nitride-rich silicon as a guide and low-loss transparentconductive oxides as an active material that can provide high nonlinearity andbistability under both electrical and optical signals.

Transparent conductive oxides and low loss nitride-rich silicon waveguides as building blocks for neuromorphic photonics