Titolo: Tensor network algorithms for high-energy physics
Speaker: prof. Simone Montangero
(Univ. di Padova - Dip. di Fisica e Astronomia "G. Galilei" e INFN - Padova)
Abstract: We review some recent results on the development of efficient 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 recent results on two and three-dimensional lattice gauge theories in presence of fermionic matter at finite densities. Morevoer, we compute the entanglement of formation in critical many-body quantum systems at finite temperature, resulting in the generalization of the logarithmic formula to open systems. Finally, we present an application of tensor network machine learning to LHCb event classification.
2018 -2019 - Università degli studi di Tor Vergata - Dipartimento di Fisica