Silicon Photonic DWDM Micro-Resonator Link Initialization Under Fabrication Variation

Silicon photonic dense wavelength-division multiplexing (DWDM) links based on microresonators are a leading candidate for scaling optical interconnects in high-performance computing. However, fabrication-induced variations in resonant frequencies, free spectral ranges (FSRs), and thermal tuning efficiencies necessitate robust initialization strategies to align resonators with multi-wavelength laser sources. While many prior studies examine individual devices, comprehensive wafer-scale statistical analyses—and their implications for initialization algorithms remain scarce. Here, we report measurements from more than 4,600 fabricated resonators, including microdisks, tapered hybrid-bend (THB) racetracks, and microrings, fabricated on 300-mm wafers. We show that microrings exhibit the largest variation, while microdisks are significantly more uniform. Using these distributions, we evaluate initialization performance through Monte Carlo simulations of two widely used algorithms: barrel-shifting and global-search. Our results establish a clear tradeoff: barrel-shifting offers sub-millisecond initialization with modest power budgets for low-variation devices (e.g. microdisks), whereas global search, though approximately 300 times slower, achieves substantially lower power consumption for high-variation devices (e.g. microrings). This work provides the first wafer-scale statistical framework linking resonator variability to initialization outcomes, and offers practical design guidance for selecting initialization strategies that balance speed, power, and robustness.

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Publication Details

Published
2025-08-22
DOI
https://doi.org/10.1364/opticaopen.29963318
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
0.00

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article

Silicon Photonic DWDM Micro-Resonator Link Initialization Under Fabrication Variation

James C. Robinson, Kaylx Jang, Keren Bergman, Xiang Meng et al.
Photonic and Optical Devices
article

Silicon Photonic DWDM Micro-Resonator Link Initialization Under Fabrication Variation

James C. Robinson, Kaylx Jang, Keren Bergman, Xiang Meng, Yuyang Wang, Robert Parsons
article en

Abstract

Silicon photonic dense wavelength-division multiplexing (DWDM) links based on microresonators are a leading candidate for scaling optical interconnects in high-performance computing. However, fabrication-induced variations in resonant frequencies, free spectral ranges (FSRs), and thermal tuning efficiencies necessitate robust initialization strategies to align resonators with multi-wavelength laser sources. While many prior studies examine individual devices, comprehensive wafer-scale statistical analyses—and their implications for initialization algorithms remain scarce. Here, we report measurements from more than 4,600 fabricated resonators, including microdisks, tapered hybrid-bend (THB) racetracks, and microrings, fabricated on 300-mm wafers. We show that microrings exhibit the largest variation, while microdisks are significantly more uniform. Using these distributions, we evaluate initialization performance through Monte Carlo simulations of two widely used algorithms: barrel-shifting and global-search. Our results establish a clear tradeoff: barrel-shifting offers sub-millisecond initialization with modest power budgets for low-variation devices (e.g. microdisks), whereas global search, though approximately 300 times slower, achieves substantially lower power consumption for high-variation devices (e.g. microrings). This work provides the first wafer-scale statistical framework linking resonator variability to initialization outcomes, and offers practical design guidance for selecting initialization strategies that balance speed, power, and robustness.

Semiconductor Research Corporation, Defense Advanced Research Projects Agency, Advanced Research Projects Agency
Openalex Percentile: Top 80%
Photonic and Optical Devices
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Silicon Photonic DWDM Micro-Resonator Link Initialization Under Fabrication Variation — James C. Robinson, Kaylx Jang, et al. · (2025) | TGRS Research Map | TGRS