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Artificial neural networks for photonic applications—from algorithms to implementation: tutorial
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …
audience, ranging from optical research and engineering communities to computer science …
Modulation format and digital signal processing for IM-DD optics at post-200G era
200-Gb/s per lane intensity-modulation (IM) direct-detection (DD) optics are being
commercialized to support 800G and 1.6 T applications inside datacenters. Though IM-DD …
commercialized to support 800G and 1.6 T applications inside datacenters. Though IM-DD …
End-to-end learning of joint geometric and probabilistic constellation sha**
We present a novel autoencoder-based learning of joint geometric and probabilistic
constellation sha** for coded-modulation systems. It can maximize either the mutual …
constellation sha** for coded-modulation systems. It can maximize either the mutual …
End-to-end learning for VCSEL-based optical interconnects: state-of-the-art, challenges, and opportunities
Optical interconnects (OIs) based on vertical-cavity surface-emitting lasers (VCSELs) are the
main workhorse within data centers, supercomputers, and even vehicles, providing low-cost …
main workhorse within data centers, supercomputers, and even vehicles, providing low-cost …
TDECQ-based optimization of nonlinear digital pre-distorters for VCSEL-MMF optical links using end-to-end learning
We investigate in this article the use of nonlinear digital pre-distorters (DPDs) for improving
the performance of optical transmitters (TX) employing vertical-cavity surface-emitting lasers …
the performance of optical transmitters (TX) employing vertical-cavity surface-emitting lasers …
Low-cost, large-coverage, and high-flexibility coherent PON for next-generation access networks: advances, challenges, and prospects
Increasing bandwidth requirements have posed significant challenges for traditional access
networks. It is difficult for intensity modulation/direct detection to meet the power budget and …
networks. It is difficult for intensity modulation/direct detection to meet the power budget and …
Memory-aware end-to-end learning of channel distortions in optical coherent communications
We implement a new variant of the end-to-end learning approach for the performance
improvement of an optical coherent-detection communication system. The proposed solution …
improvement of an optical coherent-detection communication system. The proposed solution …
Artificial intelligence and machine learning<? TeX\break?> in optics: tutorial
K Yadav, S Bidnyk, A Balakrishnan - Journal of the Optical Society of …, 2024 - opg.optica.org
Across the spectrum of scientific inquiry and practical applications, the emergence of
artificial intelligence (AI) and machine learning (ML) has comprehensively revolutionized …
artificial intelligence (AI) and machine learning (ML) has comprehensively revolutionized …
Blind channel equalization using vector-quantized variational autoencoders
State-of-the-art high-spectral-efficiency communication systems employ high-order
modulation formats coupled with high symbol rates to accommodate the ever-growing …
modulation formats coupled with high symbol rates to accommodate the ever-growing …
Pushing capacity limits with multi-segment SiP modulators
The use of multiple segments on a silicon photonic modulator can increase bandwidth at the
cost of greater complexity in the driving signals. We propose and demonstrate a simple …
cost of greater complexity in the driving signals. We propose and demonstrate a simple …