Tensor Network Methods and Large Deviations in Stochastic Dynamics

Explore tensor network methods and their application to large deviations in stochastic dynamics in this 40-minute conference talk by Juan Garrahan at the Erwin Schrödinger International Institute for Mathematics and Physics. Delve into the study of fluctuations in systems with stochastic dynamics, covering topics such as obtaining long-time statistics of trajectory observables from tilted Markov generators, efficient sampling of rare events, extending the approach to finite times, and the emergence of symmetry protected topological phases in dynamical large deviations. Gain insights from recent research publications and learn how tensor network techniques can be applied to various problems in non-equilibrium statistical physics.