Electro-optical computing systems are promising for future energy-efficient computing, while scalable, dual electrical-optical functionality and low energy-consumption electrical-optical devices are not yet implemented on-chip. In this work, with a tailored design for better heat confinement, we implement scalable phase-change devices with dual electrical-optical functionality. They show ultralow programming energy for both electrical and optical switching in a pico-joule scale, which is orders lower than other integrated electro-optical phase change devices, multilevel switching until 20% contrast, good cyclability, and readout in both electrical and optical domains.
Cascaded linear and non-linear operations form the basis for all integrated photonic applications ranging from routing to computations. Because of the weak interaction between photons, achieving substantial optical nonlinearities at low power remains challenging. In this work, we demonstrate a new photonic framework where signals carried in different wavelengths can be added and encoded in a new wavelength with low optical loss. Using this approach, we can realize highly nonlinear all-optical neurons operated fully in the near-infrared domain at low power.
Photonic computing is literally becoming big business with the rise of several private companies trying to commercialize this technology. One of the advantages of using photonics is of course the ability to multiplex in wavelength - in principle providing highly parallel information processing through a given set of "weights" or system variables. Effectively, this can greatly enhance throughput. However, the use of multiple wavelengths, while very feasible still requires use of several filters and multiplexers. Here we report a technique to parallelize data processing through photonic hardware accelerators, particularly in-memory computing systems both with or without photonic hardware.
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