Optical neural network (ONNs) are emerging as attractive proposals for machine-learning applications. However, the stability of ONNs decreases with circuit depth, limiting scalability practical uses. Here we demonstrate how to compress depth scale only logarithmically in terms dimension data, leading an exponential gain noise robustness. Our low-depth (LD)-ONN is based on architecture, called C...

This paper deals with the concept of transmitting raw IP packets over an optical layer, which employs DWDM for increasing its bandwidth demand. It also gives a brief introduction to DWDM systems. The requirements for creating an all optical networks and the issues pertaining such an evolution have been discussed here. The protocol architecture based on multiprotocol lambda switching has also be...