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Maxime Jacquot

Researcher at Centre national de la recherche scientifique

Publications -  138
Citations -  4091

Maxime Jacquot is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Artificial neural network & Femtosecond. The author has an hindex of 31, co-authored 131 publications receiving 3341 citations. Previous affiliations of Maxime Jacquot include University of Franche-Comté & University of Burgundy.

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High-Speed Photonic Reservoir Computing Using a Time-Delay-Based Architecture: Million Words per Second Classification

TL;DR: A brain-inspired computer made with optoelectronic parts runs faster thanks to a hardware redesign, recognizing simple speech at the rate of 1 million words per second.
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High aspect ratio nanochannel machining using single shot femtosecond Bessel beams

TL;DR: In this paper, high aspect ratio nanochannel fabrication in glass using single-shot femtosecond Bessel beams of sub-3'μJ pulse energies at 800 nm was reported.
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Reinforcement learning in a large-scale photonic recurrent neural network

TL;DR: A network of up to 2500 diffractively coupled photonic nodes are demonstrated, forming a large scale Recurrent Neural Network, using a Digital Micro Mirror Device, to realize reinforcement learning.
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Micromachining along a curve: Femtosecond laser micromachining of curved profiles in diamond and silicon using accelerating beams

TL;DR: In this article, femtosecond laser micromachining of micron-size curved structures using tailored accelerating beams is reported, with surface curvatures as small as 70μm in both diamond and silicon.
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Arbitrary accelerating micron-scale caustic beams in two and three dimensions

TL;DR: By applying additional and rotational spatial phase, caustic-bounded sheet and volume beams are generated, which both show evidence of the recently predicted effect of abrupt autofocussing and proof of principle demonstration of how this technique may yield new degrees of freedom in both nonlinear optics and femtosecond micromachining.