Archivio Istituzionale della RicercaWe propose a method to analyze the performance variability caused by fabrication uncertainty in photonic circuits with a large number of correlated parameters. By combining a sparse polynomial chaos expansion model with dimensionality reduction in the form of Karhunen-Loève transform and principal component analysis, we demonstrate the stochastic analysis of the transfer function of cascaded Mach-Zehnder interferometers with up to 38 correlated uncertain parameters.
Performance Variability Analysis of Photonic Circuits with Many Correlated Parameters / Waqas, A.; Manfredi, P.; Melati, D.. - In: JOURNAL OF LIGHTWAVE TECHNOLOGY. - ISSN 0733-8724. - STAMPA. - 39:14(2021), pp. 4737-4744. [10.1109/JLT.2021.3076023]
Performance Variability Analysis of Photonic Circuits with Many Correlated Parameters
Manfredi P.;
2021
Abstract
We propose a method to analyze the performance variability caused by fabrication uncertainty in photonic circuits with a large number of correlated parameters. By combining a sparse polynomial chaos expansion model with dimensionality reduction in the form of Karhunen-Loève transform and principal component analysis, we demonstrate the stochastic analysis of the transfer function of cascaded Mach-Zehnder interferometers with up to 38 correlated uncertain parameters.
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https://hdl.handle.net/11583/2921952