06 - Réseaux de neurones, apprentissage et ph...

Antoine GeorgesPhysique de la matière condenséeAnnée 2024-2025Colloque : Recent Advances and Applications of Diagrammatic Monte Carlo for FermionsKris van Houcke : Summing Feynman Diagrams for Cold Atomic Fermi GasesKris van HouckeLaboratoire de Physique de l'ENSRésuméDiagrammati ...  Afficher plus

Antoine GeorgesPhysique de la matière condenséeAnnée 2024-2025Colloque : Recent Advances and Applications of Diagrammatic Monte Carlo for FermionsOlivier Parcollet : Learning Feynman Diagrams with Tensor TrainsOlivier ParcolletFlatiron InstituteRésuméThe real-time dynamics of int ...  Afficher plus

In this episode of The New Quantum Era, your host Sebastian Hassinger talks with Dr. Daniel Lidar. Dr. Lidar is a pioneering researcher in quantum computing with over 25 years of experience, currently a professor at the University of Southern California. His work spans quantum al ...  Afficher plus

Quantum computing promises unprecedented speed, but in practice, it’s proven remarkably difficult to find important questions that quantum machines can solve faster than classical ones. One of the most notable demonstrations of this came from Ew ...

In this episode of The New Quantum Era, host Sebastian Hassinger sits down with Dr. Mark Saffman, a leading expert in atomic physics and quantum information science. As a professor at the University of Wisconsin–Madison and Chief Scientist at Infleqtion (formerly ColdQuanta), Mar ...  Afficher plus

On May 6th, 1981, at the MIT Endicott House, a group of computer scientists gathered together with elite physicists to make the case that quantum phenomena could be used for computation. Here, ideas that would influence the next four decades of quantum computing research and deve ...  Afficher plus