316 citations
- École Polytechnique Fédérale de LausanneCH12 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Deutsches Elektronen-Synchrotron DESYDE5 papers
- Delft University of TechnologyNL4 papers
- Universität HamburgDE4 papers
- Massachusetts Institute of TechnologyUS3 papers
- University of GenevaCH3 papers
- University of NeuchâtelCH3 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE2 papers
- Goddard Space Flight CenterUS2 papers
- Imperial College LondonGB2 papers
- KTH Royal Institute of TechnologySE2 papers
40 papers
Comparison between methods to measureintensity modulator Vpi
Gilles Feugnet, Salma Essawab, Jimmy Pennanech +6
We describe and compare in this paper two common methods to measure the half-wave voltage (Vpi) of an electro-optical modulator versus RF frequency of the driving electronic signal…
Mid-infrared continua via spectral broadening and difference frequency generation in a nanophotonic lithium niobate waveguide
Markus Ludwig, Furkan Ayhan, Thibault Voumard +5
Periodically poled thin film lithium niobate waveguides provide simultaneous access to efficient second and third order nonlinear processes, enabling broadband generation of cohere…
SolarCrossFormer: Improving day-ahead Solar Irradiance Forecasting by Integrating Satellite Imagery and Ground Sensors
Baptiste Schubnel, Jelena Simeunović, Corentin Tissier +2
Accurate day-ahead forecasts of solar irradiance are required for the large-scale integration of solar photovoltaic (PV) systems into the power grid. However, current forecasting s…
Ultrabroadband tunable difference frequency generation in standardized thin-film lithium niobate platform
Yesim Koyaz, Christian Lafforgue, Homa Zarebidaki +4
Thin-film lithium niobate (TFLN) on insulator is a promising platform for nonlinear photonic integrated circuits (PICs) due to its strong light confinement, high second-order nonli…
Single-photon detectors on arbitrary photonic substrates
Max Tao, Hugo Larocque, Samuel Gyger +16
Detecting non-classical light is a central requirement for photonics-based quantum technologies. Unrivaled high efficiencies and low dark counts have positioned superconducting nan…
PriPHiT: Privacy-Preserving Hierarchical Training of Deep Neural Networks
Yamin Sepehri, Pedram Pad, Pascal Frossard +1
The training phase of deep neural networks requires substantial resources and as such is often performed on cloud servers. However, this raises privacy concerns when the training d…