Silicon Photonics in AI Interconnects

Silicon photonics enables compact, scalable, and energy-efficient interconnects that address the growing bandwidth and power challenges of AI systems. This article highlights recent advances in photonic devices, integration techniques, and packaging approaches for next-generation high-density optical links.

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Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11111327
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
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article

Silicon Photonics in AI Interconnects

Peter J. Winzer, S. Paul, Fred Warning, George Fischer et al.
Photonic and Optical Devices
article

Silicon Photonics in AI Interconnects

Peter J. Winzer, S. Paul, Fred Warning, George Fischer, Daniel Assumpção, Tú Thanh Nguyễn, Siamak Abbaslou, Proesel Jon, Karel Van Acoleyen, Zeyu Pan, Vaishnavi Karra, C. Karen Liu, Mark Ferriss, Andrew Sullivan, Randy Giles, Steve Corteselli, Irene Jiménez Martínez, Jeb Binkley, G. de Valicourt, M. Lamponi, Lukas Elsinger, Brett Sawyer, Mehdi Zaman, Son Thai Le, Shawn Liu, Zhiqui Zhu, Chris Daunt, G. Reichert, Eugene Ho, Behzad Rahmani, Ashok Bruno, Faezeh Fesharaki, Pete Pupalaikis, Laurent Alloine, Utku Alakusu, Nikitha Machineni, John P. George
article en

Abstract

Silicon photonics enables compact, scalable, and energy-efficient interconnects that address the growing bandwidth and power challenges of AI systems. This article highlights recent advances in photonic devices, integration techniques, and packaging approaches for next-generation high-density optical links.

Providence College (US)
Openalex Percentile: Top 80%
Photonic and Optical Devices
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Silicon Photonics in AI Interconnects — Peter J. Winzer, S. Paul, et al. · (2025) | TGRS Research Map | TGRS