The recent advances in the development of efficient and scalable photonic integrated quantum hardware, based on semiconductor quantum dots in Gallium Arsenide, are reported. I will present novel approaches to on-chip optical routing based on nanomechanical systems and to single-photon generation in nanophotonic waveguides.
Here we show a nanophotonic RNS arithmetic implementation by spatially shifting the input waveguides relative to a crossbar routers’ outputs, where the moduli are represented by the number of waveguides. This highly parallelizable in-the-network kernel processes information at 10’s of ps suitable for real-time computing.
We show optical waves passing through a nanophotonic medium can perform artificial neural computing. Such a medium exploits sub-wavelength linear and nonlinear scatterers to realize complex input-output mapping far beyond the capabilities of traditional nanophotonic devices.