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Séminaire Images Optimisation et Probabilités

Responsable : Luis Fredes et Camille Male

  • Le 23 mai 2024 à 11:00
  • Séminaire Images Optimisation et Probabilités
    Salle de conférénce
    Stephane Dartois CEA
    Injective norm of random tensors and geometric entanglement of random quantum states

    In this talk, I will present the results of a collaboration with Benjamin McKenna on the injective norm of large random Gaussian tensors and uniform random quantum states and, time allowing, describe some of the context underlying this work. The injective norm is a natural generalization to tensors of the operator norm of a matrix and appears in multiple fields. In quantum information, the injective norm is one important measure of genuine multipartite entanglement of quantum states, known as geometric entanglement. In our recent preprint, we provide high-probability upper bounds in different regimes on the injective norm of real and complex Gaussian random tensors, which corresponds to lower bounds on the geometric entanglement of random quantum states, and to bounds on the ground-state energy of a particular multispecies spherical spin glass model. Our result represents a first step towards solving an important question in quantum information that has been part of folklore.


  • Le 6 juin 2024 à 11:00
  • Séminaire Images Optimisation et Probabilités
    Salle de Conférénces
    Francisco Andrade ENS Paris
    À preciser

    À preciser


  • Le 10 juin 2024 à 13:30 au 14 juin 2024 à 12:00
  • Séminaire Images Optimisation et Probabilités
    Salle de conférénces
    Journées de Probabilités 2024

    Page de l'événement : https://indico.math.cnrs.fr/event/11353/overview


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