Thermal Crosstalk Modelling and Compensation Methods for Programmable Photonic Integrated Circuits

被引:0
|
作者
Teofilovic, Isidora [1 ]
Cem, Ali [1 ]
Sanchez-Jacome, David [2 ]
Perez-Lopez, Daniel [2 ]
Da Ros, Francesco [1 ]
机构
[1] Tech Univ Denmark, Dept Elect & Photon Engn, DK-2800 Lyngby, Denmark
[2] iPron Programmable Photon SL, Valencia 46010, Spain
关键词
Optical crosstalk; Training; Adaptive optics; Crosstalk; Artificial neural networks; Programming; Optical resonators; Programmable photonics; neuromorphic computing; machine learning; OPTICAL NEURAL-NETWORKS; BACKPROPAGATION; DESIGN;
D O I
10.1109/JLT.2024.3430504
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Photonic integrated circuits play an important role in the field of optical computing, promising faster and more energy-efficient operations compared to their digital counterparts. This advantage stems from the inherent suitability of optical signals to carry out matrix multiplication. However, even deterministic phenomena such as thermal crosstalk make precise programming of photonic chips a challenging task. Here, we train and experimentally evaluate three models incorporating varying degrees of physics intuition to predict the effect of thermal crosstalk in different locations of an integrated programmable photonic mesh. We quantify the effect of thermal crosstalk by the resonance wavelength shift in the power spectrum of a microring resonator implemented in the chip, achieving modelling errors $< $0.5 pm. We experimentally validate the models through compensation of the crosstalk-induced wavelength shift. Finally, we evaluate the generalization capabilities of one of the models by employing it to predict and compensate for the effect of thermal crosstalk for parts of the chip it was not trained on, revealing root-mean-square-errors of $< $2.0 pm.
引用
收藏
页码:7816 / 7824
页数:9
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