Stochastic and structural properties of complex laser networks for optical computing (B09)

我们研究用于现代光计算方案的复杂激光网络。在研究了简单激光网络的分叉结构并评估了它们的水库计算性能之后，我们将开发新的概念来增加使用复杂增益模型和自发辐射噪声进行数值模拟的真实性，并开发新的分析工具来研究具有定制拓扑的通用振荡器网络的信息处理能力。将评估全局相空间属性、光子分布以及基于熵的动力学度量，以将性能与动力学状态联系起来，从而获得优化的预测结果。

We investigate complex laser networks for modern optical computing schemes. Having studied the bifurcation structure of simple laser networks and evaluated their reservoir computing performance, we will develop new concepts to both increase the realism of our numerical simulations with complex gain models and spontaneous emission noise, as well as develop novel analytical tools to study the information processing capabilities of generic oscillator networks with a tailored topology. Global phase space properties, photon distributions as well as entropy-based measures of the dynamics will be evaluated to link the performance to dynamical states and thus gain predictive results for optimization.