Laboratoire Kastler Brossel - LKB

⚗ A l'occasion de la Fête de la Science à Sorbonne Université, j'ai eu la chance de visiter aujourd'hui l'atelier de verrerie du Laboratoire Kastler Brossel - LKB grâce à #CNRSinsolite. Un grand merci à Tom Chevry d'avoir partagé sa passion et son métier si précieux avec nous! 📌 C'était un moment incroyable et passionnant, et je serai très triste de ne pas avoir l'opportunité de travailler avec lui une fois ma thèse démarrée en janvier au LKB! Il faudra absolument que je trouve une excuse pour lui rendre visite.

📢 The LKB is pleased to share Welinq's announcement of the formation of their Scientific Advisory Board! Four leading experts in quantum information science are joining Welinq to advance quantum technologies and deliver innovative interconnects for quantum computer networking: - Professor alain aspect (Physics Nobel Laureate in 2022, renowned for his groundbreaking work on non-locality with entangled photons and fundamental quantum phenomena.) - Professor Artur Ekert (A pioneer in quantum cryptography and communications, recognized for his influential E91 protocol.) - Professor Kae Nemoto (An expert in quantum algorithms, distributed quantum computing, and quantum networking, advancing scalable quantum information systems.) - Professor Peter Zoller (A leading figure in quantum optics, quantum computing, and quantum error correction, and co-author of the seminal DLCZ protocol for quantum networking.) 🔗 Find all the details in the press release : https://lnkd.in/ecwtRvgj Learn more : https://lnkd.in/dSE4D487 #nobelprize #quantumcomputing #photons #futureofcompute alain aspect, Artur Ekert, Kae Nemoto, Peter Zoller, Tom Darras, Eleni Diamanti, Julien Laurat, Jean Lautier-Gaud, Christophe Jurczak, Dmitry Galperin, Francesco Ricciuti, Eléonore de Rose, Christopher Spillane

💡 Certify the properties of N-body quantum states A new theoretical approach to the N-body quantum problem has been developed, providing, for the first time, a rigorous estimate of the errors made by approximate solutions calculated through numerical simulations using traditional methods. Check it out : https://lnkd.in/d8gCZpvs CNRS #RésultatScientifique

📢 Participez aux visites insolites 2024 du CNRS et plongez au cœur de l’atelier de verrerie scientifique, un lieu où le verre est métamorphosé avec Tom Chevry ! 📌 Inscrivez-vous au tirage au sort avant le 22 septembre pour : - Une visite le 9 octobre 2024 à 15h : https://lnkd.in/dTJxsgac - Une visite le 10 octobre 2024 à 18h30 : https://lnkd.in/dD5XE8Yf À très vite j'espère !

[Post-doc proposal] 👀 New position available in the LNE - Laboratoire National de Métrologie et d'Essai : "Postdoctoral Researcher in Quantum Thermometry". 🔎 More informations : https://lnkd.in/eeuVG7Ad LNE, Région Île-de-France, C2N - Centre de Nanosciences et de Nanotechnologies, Laboratoire Kastler Brossel - LKB

🔎 Check out this latest QIA-supported paper from Laboratoire Kastler Brossel - LKB on a novel method to improve the accuracy of Bell-state measurements (BSMs) in optical quantum information processing—a critical process in #quantumcommunication and #quantumcomputing. In this paper, researchers presented a hybrid approach that "significantly [enhances] the quantum teleportation and entanglement-swapping fidelities". Improving the fidelity of Bell-state measurements enhances the reliability and scalability of #quantumnetworks and interconnects. To read the paper, click here: https://lnkd.in/g5vHfxAM Authors: Beate Asenbeck, Akito Kawasaki, Ambroise Boyer, Tom Darras, Alban Urvoy, Akira Furusawa, and Julien Laurat LKB has world-class expertise in experimental physics on the development of the scientific and technical abilities for the realisation of quantum network. They are involved in a key repeater system in QIA on the Design Alternatives Track. #quantuminternet #quantumtechnology #quantumresearch

💡 Artificial Intelligence in the Service of Quantum Optics, and Vice Versa Due to their powerful information processing capabilities, artificial intelligence (AI) and, more broadly, neural network-based computing are generating increasing interest for their applications in the quantum domain. In two recent studies, researcher and post-doc of the Multimode Quantum Optics team at LKB demonstrates how quantum optics and these new computational approaches can complement each other. Check it out : https://lnkd.in/dqKxmKmh Nicolas Treps Mattia Walschaers Valentina Parigi CNRS - Centre national de la recherche scientifique Sorbonne Université École normale supérieure Collège de France

How to create nonlinear mapping with linear optics? 🌟Excited to share our paper out in Nature Photonics! Check it out: https://lnkd.in/egSafX4S It’s a collaboration work between Complex Media Optics lab (Sylvain Gigan) Laboratoire Kastler Brossel - LKB and Prof. Hui Cao’s team at Yale University. 2/ We proposed a highly nonlinear optical processing and encoding method leveraging linear optics. It uses multiple scattering to create programmable, controllable nonlinear mapping. 3/ Linear scattering of light can contain "highly nonlinear terms" with multiple scattering. We designed a programmable multiple scattering cavity to harness this effect. 4/ This lets us build optical nonlinear encoders with controllable nonlinear mapping between data encoded in light and detector output (the speckle). We realize it is great for optical data compression! 5/ Our design keeps key information needed for high-level tasks, by projecting optical data to a low latent dimension, which can be probed by a camera with fewer pixels. We demonstrated applications in keypoint detection, image reconstruction, and pedestrian/object tracking. 6/ Big thanks to the incredible team behind this work: Kyungduk Kim, Yaniv Eliezer, SeungYun Han, Liam Shaughnessy 7/ Also, check out similar concepts recently published: work from Demetri psaltis and Christophe Moser’s teams published in the same issue with us @NaturePhotonics https://lnkd.in/eKfZ__AD and work from Florian Marquardt’s team https://lnkd.in/ewZa6MTh @NaturePhysics.

💡 Smarter photonic neural networks 🎯 A research collaboration led by the groups of Rachel Grange at D-PHYS, ETH Zürich and of Sylvain Gigan at the Laboratoire Kastler Brossel - LKB showed that photonic neural networks get better at some machine learning tasks thanks to the optical nonlinearity introduced by a disordered material made of lithium niobate nanocrystals. Read the full story here: https://lnkd.in/g4A4SPAx Take a look at the research paper here: https://lnkd.in/daaurZ5N ETH Zürich #optics #physics #machinelearning

🎉 Clôture des Journées de Prospective à Lyon ! 🎉 Du 8 au 10 juillet 2024, notre laboratoire a organisé 3 jours dédiés à la physique quantique, avec des séminaires pour les spécialistes du LKB et des sessions de vulgarisation pour le personnel d’appui à la recherche scientifique du LKB. Merci à tous les intervenants et participants pour leurs précieuses contributions !