Implementation of Brillouin-Active for Low Threshold Optical Logic and Memory Based on Neural Networks

We propose a novel application of sBs in embedded optical fibers as a building block for the implementation of optical neural net based on smart structures. By employing well established technology in fiber embedding in structures, and exploiting the ability of sBs as a highly versatile ambient sensor, and its nonlinear optical property of energy addition and subtraction to perform optical arithmetic, we predict the possible integration of sensing and actuation for smart structures. In this paper, the fiber based sBs neuron is explained based on neural network in smart structures. Optical arithmetic schemes are shown to demonstrate the simplicity of operation of these neurons.