Recent advances in optical technologies for data centers: a review

Q Cheng, M Bahadori, M Glick, S Rumley, K Bergman - Optica, 2018 - opg.optica.org
Modern data centers increasingly rely on interconnects for delivering critical
communications connectivity among numerous servers, memory, and computation …

Silicon photonic switch fabrics: Technology and architecture

BG Lee, N Dupuis - Journal of Lightwave Technology, 2018 - ieeexplore.ieee.org
Photonic switching technologies show potential for transforming communication networks
across diverse markets from long-haul to short-reach distance scales due to their large …

Silicon photonics for high-capacity data communications

Y Shi, Y Zhang, Y Wan, Y Yu, Y Zhang, X Hu… - Photonics …, 2022 - opg.optica.org
In recent years, optical modulators, photodetectors,(de) multiplexers, and heterogeneously
integrated lasers based on silicon optical platforms have been verified. The performance of …

Silicon photonic microresonator-based high-resolution line-by-line pulse sha**

LM Cohen, K Wu, KV Myilswamy, S Fatema… - Nature …, 2024 - nature.com
Optical pulse sha** stands as a formidable technique in ultrafast optics, radio-frequency
photonics, and quantum communications. While existing systems rely on bulk optics or …

Photonic switching in high performance datacenters

Q Cheng, S Rumley, M Bahadori, K Bergman - Optics express, 2018 - opg.optica.org
Photonic switches are increasingly considered for insertion in high performance datacenter
architectures to meet the growing performance demands of interconnection networks. We …

Silicon microring synapses enable photonic deep learning beyond 9-bit precision

W Zhang, C Huang, HT Peng, S Bilodeau, A Jha… - Optica, 2022 - opg.optica.org
Deep neural networks (DNNs) consist of layers of neurons interconnected by synaptic
weights. A high bit-precision in weights is generally required to guarantee high accuracy in …

Control-free and efficient integrated photonic neural networks via hardware-aware training<? TeX\break?> and pruning

T Xu, W Zhang, J Zhang, Z Luo, Q **ao, B Wang, M Luo… - Optica, 2024 - opg.optica.org
Integrated photonic neural networks (PNNs) are at the forefront of AI computing, leveraging
light's unique properties, such as large bandwidth, low latency, and potentially low power …

Silicon photonic integrated circuits for wavelength-division multiplexing applications

P Dong - IEEE Journal of Selected Topics in Quantum …, 2016 - ieeexplore.ieee.org
Silicon photonics will provide low-cost, high-bandwidth and compact optical components for
a wide range of applications in optical communications and interconnects. One of the cited …

Canceling thermal cross-talk effects in photonic integrated circuits

M Milanizadeh, D Aguiar, A Melloni… - Journal of Lightwave …, 2019 - opg.optica.org
Thermal actuators are among the most consolidated and widespread devices for the active
control of photonic integrated circuits (PICs). As a main drawback, mutual thermal crosstalk …

Silicon photonics codesign for deep learning

Q Cheng, J Kwon, M Glick, M Bahadori… - Proceedings of the …, 2020 - ieeexplore.ieee.org
Deep learning is revolutionizing many aspects of our society, addressing a wide variety of
decision-making tasks, from image classification to autonomous vehicle control. Matrix …