Opendata, web and dolomites

SMARTIES SIGNED

Scattering Media as a Resource Towards Information Processing and Sensing

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "SMARTIES" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 1˙999˙891 €
 EC max contribution 1˙999˙891 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-COG
 Funding Scheme ERC-COG
 Starting year 2017
 Duration (year-month-day) from 2017-04-01   to  2022-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 1˙999˙891.00

Map

 Project objective

Scattering of light in complex environments has long been considered a nuisance and an inescapable limitation to imaging and sensing alike, ranging from astronomical observation, biomedical imaging, spectroscopy, etc. In the last decade, wavefront shaping techniques have revolutionized this view, by allowing light focusing and imaging even deep in the multiple scattering regime. This principle is embodied in the possibility—that I pioneered—to access the transmission matrix of a complex medium. In SMARTIES, I will go one major conceptual step further, by exploiting directly the inherent property of a complex medium to mix perfectly and deterministically the information carried by the light. This mixing is actually a processing step. Along this general idea, SMARTIES will explore two synergistic directions: —Classical and quantum optical computing: Thanks to the highly multimode nature and the strong mixing properties of complex material, I will aim at demonstrating high performance classical computing tasks in the context of randomized algorithms. As a platform for quantum information processing, this will be relevant for high dimension quantum computing algorithms, and quantum machine learning. —Generalized imaging and sensing: Rather than tediously focusing and imaging through a scattering material, computational approaches can significantly improve and simplify the imaging process. I also aim to show that the relevant information can be directly and optimally extracted from the scattered light without imaging, using machine-learning algorithms. From a methodological standpoint, SMARTIES will require bridging knowledge from mesoscopic physics, light-matter interaction, linear and non-linear optics, with algorithms and signal processing concepts. It will deliver a whole new class of optical methods and devices, based on disorder. Its applications range from big data analysis, quantum technologies, to sensors and deep imaging for biology and neuroscience.

 Publications

year authors and title journal last update
List of publications.
2017 Tengfei Wu, Jonathan Dong, Xiaopeng Shao, Sylvain Gigan
Imaging through a thin scattering layer and jointly retrieving the point-spread-function using phase-diversity
published pages: 27182, ISSN: 1094-4087, DOI: 10.1364/oe.25.027182
Optics Express 25/22 2020-01-29
2019 Saroch Leedumrongwatthanakun, Luca Innocenti, Hugo Defienne, Thomas Juffmann, Alessandro Ferraro, Mauro Paternostro, Sylvain Gigan
Programmable linear quantum networks with a multimode fibre
published pages: , ISSN: 1749-4885, DOI: 10.1038/s41566-019-0553-9
Nature Photonics 2020-01-29
2019 Benneth Sturm, Fernando Soldevila, Enrique Tajahuerce, Sylvain Gigan, Herve Rigneault, Hilton B. de Aguiar
High-Sensitivity High-Speed Compressive Spectrometer for Raman Imaging
published pages: 1409-1415, ISSN: 2330-4022, DOI: 10.1021/acsphotonics.8b01643
ACS Photonics 6/6 2020-01-29
2020 Thomas Juffmann, Andrés de los Ríos Sommer, Sylvain Gigan
Local Optimization of Wave-fronts for optimal sensitivity PHase Imaging (LowPhi)
published pages: 124484, ISSN: 0030-4018, DOI: 10.1016/j.optcom.2019.124484
Optics Communications 454 2020-01-29
2019 Antoine Boniface, Ivan Gusachenko, Kishan Dholakia, Sylvain Gigan
Rapid broadband characterization of scattering medium using hyperspectral imaging
published pages: 274, ISSN: 2334-2536, DOI: 10.1364/optica.6.000274
Optica 6/3 2020-01-29
2019 Baptiste Blochet, Kelly Joaquina, Lisa Blum, Laurent Bourdieu, Sylvain Gigan
Enhanced stability of the focus obtained by wavefront optimization in dynamical scattering media
published pages: 1554, ISSN: 2334-2536, DOI: 10.1364/optica.6.001554
Optica 6/12 2020-01-29
2019 Fernando Soldevila, Jonathan Dong, Enrique Tajahuerce, Sylvain Gigan, Hilton B. de Aguiar
Fast compressive Raman bio-imaging via matrix completion
published pages: 341, ISSN: 2334-2536, DOI: 10.1364/OPTICA.6.000341
Optica 6/3 2020-01-29
2020 Jonathan Dong, Mushegh Rafayelyan, Florent Krzakala, Sylvain Gigan
Optical Reservoir Computing Using Multiple Light Scattering for Chaotic Systems Prediction
published pages: 1-12, ISSN: 1077-260X, DOI: 10.1109/JSTQE.2019.2936281
IEEE Journal of Selected Topics in Quantum Electronics 26/1 2020-01-29
2019 Giacomo Frangipane, Gaszton Vizsnyiczai, Claudio Maggi, Romolo Savo, Alfredo Sciortino, Sylvain Gigan, Roberto Di Leonardo
Invariance properties of bacterial random walks in complex structures
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-019-10455-y
Nature Communications 10/1 2020-01-29
2017 B. Blochet, L. Bourdieu, S. Gigan
Focusing light through dynamical samples using fast continuous wavefront optimization
published pages: 4994, ISSN: 0146-9592, DOI: 10.1364/ol.42.004994
Optics Letters 42/23 2019-10-07
2019 Hugo Defienne, Sylvain Gigan
Spatially entangled photon-pair generation using a partial spatially coherent pump beam
published pages: , ISSN: 2469-9926, DOI: 10.1103/physreva.99.053831
Physical Review A 99/5 2019-10-07
2017 Stefan Rotter, Sylvain Gigan
Light fields in complex media: Mesoscopic scattering meets wave control
published pages: , ISSN: 0034-6861, DOI: 10.1103/revmodphys.89.015005
Reviews of Modern Physics 89/1 2019-10-07
2017 Romolo Savo, Romain Pierrat, Ulysse Najar, Rémi Carminati, Stefan Rotter, Sylvain Gigan
Observation of mean path length invariance in light-scattering media
published pages: 765-768, ISSN: 0036-8075, DOI: 10.1126/science.aan4054
Science 358/6364 2019-10-07
2019 Ori Katz, François Ramaz, Sylvain Gigan, Mathias Fink
Controlling light in complex media beyond the acoustic diffraction-limit using the acousto-optic transmission matrix
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-019-08583-6
Nature Communications 10/1 2019-10-07
2017 Tengfei Wu, Jonathan Dong, Xiaopeng Shao, Sylvain Gigan
Imaging through a thin scattering layer and jointly retrieving the point-spread-function using phase-diversity
published pages: 27182, ISSN: 1094-4087, DOI: 10.1364/oe.25.027182
Optics Express 25/22 2019-10-07
2018 Mickael Mounaix, Duc Minh Ta, Sylvain Gigan
Transmission matrix approaches for nonlinear fluorescence excitation through multiple scattering media
published pages: 2831, ISSN: 0146-9592, DOI: 10.1364/OL.43.002831
Optics Letters 43/12 2019-05-03
2017 Mickael Mounaix, Hilton B. de Aguiar, Sylvain Gigan
Temporal recompression through a scattering medium via a broadband transmission matrix
published pages: 1289, ISSN: 2334-2536, DOI: 10.1364/OPTICA.4.001289
Optica 4/10 2019-05-03
2018 Rebecca French, Sylvain Gigan, Otto l. Muskens
Snapshot fiber spectral imaging using speckle correlations and compressive sensing
published pages: 32302, ISSN: 1094-4087, DOI: 10.1364/oe.26.032302
Optics Express 26/24 2019-05-03

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SMARTIES" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "SMARTIES" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

inhibiTOR (2020)

Novel selective mTORC1 inhibitors

Read More  

Growth regulation (2019)

The wide-spread bacterial toxin delivery systems and their role in multicellularity

Read More  

TORYD (2020)

TOpological many-body states with ultracold RYDberg atoms

Read More