Neuromorphic sensing via temporal signal signature processed by photonic reservoir computer
Neuromorphic sensing via temporal signal signature processed by photonic reservoir computer
复制标题
通过光子储存计算机处理的时间信号特征进行神经形态传感
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
T. Benson
中科院分区：
文献类型：
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作者：
S. Phang;D. Furniss;C. Mellor;G. Roelkens;A. Seddon;P. Bientsman;T. Benson
我们报告了用于传感应用的油藏计算机（PhRC）的光子实现。 PhRC 的核心将采用光子晶体腔平台上的混沌微腔的形式，旨在区分不同的分析物。通过识别在存在不同分析物的情况下由混沌核产生的独特时间信号特征来实现区分。利用台球形微腔对初始条件响应的敏感性获得了独特的时间特征。值得注意的是，与传统的光谱指纹识别相比，所报告的新辨别方法是直接对时间信号执行的。
We report a photonic implementation of the Reservoir Computer (PhRC) for sensing application. The kernel of the PhRC will be in the form of chaotic microcavity on a photonic crystal cavity platform designed to discriminate different analytes. The discrimination is achieved by recognising the unique temporal signal signature arising from the chaotic kernel in the presence of different analyte. The unique temporal signature is obtained exploiting the sensitive to the initial-condition response of a billiard shaped microcavity. This is noted that the new discrimination approach reported is performed directly on the temporal signal, in contrast to the conventional spectral fingerprinting.