Implementation of Brillouin-Active Fiber for Low Threshold Optical Logic and Memory Based Neural Networks in Smart Structures

摘要

In this paper research and development are ongoing in the implementations of Brillouin-active fiber based, highly versatile active optical device for optical communication, sensing and computation. An active device in general requires the employment of nonlinearity, and possibly feedback for increased efficiency in device function. However, the presence of nonlinearity together with intrinsic delayed feedback has been repeatedly demonstrated to lead to instabilities and ultimate optical chaos. Our effort is then to exploit device function and suppress instabilities by simulation, and design for optimization based on neural networks in smart structures. Instabilities are unavoidable in optical fiber due to its intrinsic nonlinearity and feedback instabilities. The suppression of such instabilities is devoted to the exploitation of them for memory capacity. These memories can be estimated as an optical logic function used for all-optic in-line switching, channel selection, oscillation, optical logic elements in optical computation with neural network application.