Speaker
Prof.
Simone Montangero
Description
We review some recent results on the development of tensor network algorithms and their application 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.
Primary author
Prof.
Simone Montangero
