Actividades

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Speaker Tipo de Evento
Dic 2 2024 - 15:00 Instantons and the anomalous U(1)_A symmetry in high temperature QCD Tamás Kovács I present a new way of understanding how chiral symmetry is realized in the high temperature phase of QCD. Seminar
Dic 4 2024 - 10:00 Measurement of the B(W->cq)/B(W->qq') decay branching fraction ratio with the CMS detector at the LHC and Uncertainty estimation of machine learning models in particle physics Julia Vázquez Particle physics aims to understand the fundamental structure of matter and its interactions, relying on precise experimental measurements for its progress. Thesis-dissertation
Dic 4 2024 - 11:30 Bound states stabilization and generalized hydrodynamics in a one-dimensional attractive Bose gas Alvise Bastianello (TU Munich) Ultracold quantum gases provide a versatile platform for exploring strong interactions and non-equilibrium phases that have no  Quantum Information Journal Club
Dic 5 2024 - 12:00 Non-perturbative resolution of strong coupling singularities in 4D N = 1 heterotic M-theory Lorenzo Paoloni After the usual paper discussion, Lorenzo Paoloni will give a talk on "Non-perturbative resolution of strong coupling singularities in 4D N=1 heterotic M-theory" (2408.12458) by  Mirjam Cvetic and SPLE-Club
Dic 5 2024 - 15:00 The Hydrodynamics of Inverse Phase Transitions Giulio Barni First order phase transitions are violent phenomena that occur when the state of the universe evolves abruptly from one vacuum to another. Seminar
Dic 10 2024 - 10:00 XXX IFT Xmas Workshop Workshop
Dic 13 2024 - 12:00 CFTMAT Colloquium: 'Some new results on symmetries, conserved charges and black-hole physics' Tomás Ortín
Colloquium
Dic 17 2024 - 15:00 TBA Martín Sasieta Seminar
Ene 13 2025 - 11:30 Course in (Quantum) Machine Learning Adrián Pérez-Salinas This course, taught by Adrián Pérez-Salinas (Leiden University, The Netherlands) Seminar
Ene 13 2025 - 11:30 Course in Machine Learning (Classical and Quantum) Adrian Perez-Salinas This class will be dedicated to introduce basic notions of machine learning. In this chapter we will discuss the purpose School

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