Accès ouvert
2025
conference-paper
OpenAlex
Kaoutar Benyahya, Ariel Gómez, Junyi Liu, Vassily Lyutsarev et autres
Link technologies in today's data center networks impose a fundamental trade-off between reach, power, and reliability. Copper links are power-efficient and reliable but have very limited reach (< 2 m). Optical links offer longer reach but at the expense of high power …
gb
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Accès ouvert
2025
article
OpenAlex
Cheng-Han Wu, Tom Reep, Yishu Huang, Steven Brems et autres
Abstract Two dimensional (2D) materials are at the forefront of research in integrated modulators. However, achieving pure phase modulation with low insertion loss remains challenging in 2D material modulators. This work explores phase modulators based on monolayer MoS2 integrated on a Si …
be
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Accès ouvert
2025
article
OpenAlex
Tom Reep, Cheng-Han Wu, Didit Yudistira, Steven Brems et autres
We demonstrate both passive and active mode-locking of fiber lasers using a graphene-based absorber integrated on a silicon photonics platform manufactured using a wafer-scale CMOS process. Passive mode-locking is achieved at a 28 MHz repetition rate, generating 1.7 ps optical pulses, while …
nl, be
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Accès ouvert
2025
article
OpenAlex
Yannick De Koninck, Charles Caër, Didit Yudistira, Marina V. Baryshnikova et autres
dk, gb, be, ch, us, de, nl
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Accès ouvert
2024
article
OpenAlex
Ahmed Kandeel, Gaspard Hiblot, Clément Porret, Srinivasan Ashwyn Srinivasan et autres
We report the recent progress of waveguide-coupled O-band GeSi quantum confined stark effect electroabsorption modulators, monolithically integrated in a Si photonics platform on 300 mm Silicon-on-insulator wafers with 220 nm thick Si top layer. A wafer-scale analysis of static insertion loss (IL) …
nl, be, us, gb
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Accès ouvert
2024
article
OpenAlex
Hannah F. Y. Watson, Alfonso Ruocco, Matteo Tiberi, Jakob E. Muench et autres
High Resolution Image Download MS PowerPoint Slide Next-generation data networks need to support Tb/s rates. In-phase and quadrature (IQ) modulation combine phase and intensity information to increase the density of encoded data, reduce overall power consumption by minimizing the number of channels, …
gb, be, it, us
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Accès ouvert
2024
article
OpenAlex
Ioannis Roumpos, Lorenzo De Marinis, Stefanos Kovaios, Peter Seigo Kincaid et autres
This paper presents an experimental demonstration of the photonic segment of a photonic-electronic multiply accumulate neuron (PEMAN) architecture, employing a silicon photonic chip with high-speed electro-absorption modulators for matrix-vector multiplications. The photonic integrated circuit has been evaluated through a noise-sensitive three-layer neural …
gr, it, us
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Accès ouvert
2024
article
OpenAlex
Cheng-Han Wu, Tom Reep, Steven Brems, Didit Yudistira et autres
Since their first demonstration, graphene-based silicon waveguide modulators have evolved towards very attractive devices for adoption in future optical interconnects. In this paper, we first review state-of-the-art for graphene-based intensity modulators. Two important device configurations are considered: one using a single graphene …
be
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2024
article
OpenAlex
Stefanos Kovaios, Ioannis Roumpos, Miltiadis Moralis‐Pegios, George Giamougiannis et autres
We demonstrate a silicon photonic Xbar-based general matrix multiplier (Xbar GeMM) for optical neural network (NN) applications, utilizing a hybrid time-space multiplexing scheme for supporting matrix dimensions far beyond the dimensions of the Xbar circuit. We present the operational principle of the …
gr, be
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Accès ouvert
2024
article
OpenAlex
Cenk Ibrahim Özdemir, Yannick De Koninck, Saroj Kanta Patra, Marina V. Baryshnikova et autres
Abstract We report on a comprehensive temperature dependent dark current study of high-quality InGaAs/GaAs multi quantum well waveguide photodetectors monolithically integrated on silicon. They are integrated through metalorganic vapor-phase selective-area epitaxial growth in a 300 mm CMOS pilot line. Defects resulting from …
be
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Stefanos Kovaios, Ioannis Roumpos, Apostolos Tsakyridis, George Giamougiannis et autres
We present a time-space multiplexed Silicon Photonic Neural Network that acts as a General Matrix Multiply (GeMM) engine, using a 2×2 photonic Xbar prototype for demonstrating experimental results at 20GBd and an accuracy of 93.3% at an energy efficiency of 0.2pJ/MAC.
gr, be, gb
(code pays fourni par la source)
2024
conference-paper
OpenAlex
Ioannis Roumpos, Lorenzo De Marinis, P. S. Kincaid, Emilio Paolini et autres
We experimentally demonstrate an EAM-based photonic-electronic multiply-accumulate neuron that performs inference in a health monitoring task with 1350 trainable parameters, achieving an f1 score of 85.9 % at 10 Gbaud compute rate.
gr, it, be, ca, gb
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