油藏计算
谐振器
硅光子学
计算机科学
水准点(测量)
光子学
噪音(视频)
非线性系统
光学计算
钥匙(锁)
电子工程
硅
人工神经网络
光电子学
材料科学
工程类
物理
循环神经网络
计算机安全
大地测量学
量子力学
机器学习
人工智能
图像(数学)
地理
作者
Giovanni Donati,Apostolos Argyris,Claudio R. Mirasso,Mattia Mancinelli,Lorenzo Pavesi
摘要
Time-delay Reservoir Computing (TRC) are neural networks which thanks to their hardware simplicity are suited for photonic implementation. Here, we numerically investigated and experimentally tested a TRC based on a nonlinear single silicon microring resonator (MRR) coupled to an optical fibre loop which provides an external tuneable optical feedback. The work is inspired by the key role that MRRs demonstrate in integrated optical devices, together with the significant advantage they provide due to their fully passive nonlinearity. Insights about the computational properties of the system are provided as a result of the performance on multiple benchmark tasks.
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