Évènements

Hybrid between biologically inspired and quantum inspired many-body states Miha SRDINSEK (CEA Grenoble)   Deep neural networks can represent very different sorts of functions, including complex quantum many-body states. Tensor networks can also represent these states, have more structure and are easier to optimize. However, they can be prohibitively costly computationally in two or higher

Entanglement asymmetry and the quantum Mpemba effect Filiberto Ares (SISSA, Trieste, Italy)   Abstract: One of the most fundamental questions connecting quantum and statistical physics is how a closed many-body quantum system, evolving unitarily, locally relaxes to a stationary state. The approach to equilibrium is exceedingly complex and can be probed in a myriad of ways. In

Pedro Ribeiro (Universidade de Lisboa)

Entanglement dynamics and Page curves in random permutation circuits Michele Mazzoni (Université de Bologna)   The characterization of ensembles of many-qubit random states and their realization via quantum circuits are crucial tasks in quantum-information theory. In this work, we study the ensembles generated by quantum circuits that randomly permute the computational basis, thus acting classically

Natalia Chepiga (Delft University of Technology)

TBA Leticia Cugliandolo (LPTHE, Sorbonne Université, Paris)

TBA Andrey Zelenskiy (LPTMS)