Starts 30 Mar 2022 14:00
Ends 30 Mar 2022 15:00
Central European Time
Hybrid Seminar
Budinich LH and via Zoom
Simone Montangero
(University of Padova, Italy)


We review some recent results on the development of efficient unconstrained tree tensor network algorithms and their applications to high-dimensional many-body quantum systems and machine learning problems in High Energy Physics. In particular, we present results on topological two-dimensional systems, two dimensional Rydberg atom systems, and two and three-dimensional lattice gauge theories in presence of fermonic matter. Finally, we present their application to LHCb event classification and to the study of open many-body quantum systems, specifically to the computation of the entanglement of formation in critical many-body quantum systems at finite temperature.