2 papers
cond-mat.stat-mech2021
Optimal sampling of dynamical large deviations via matrix product states
Luke Causer, Mari Carmen Bañuls, Juan P. Garrahan
The large deviation (LD) statistics of dynamical observables is encoded in the spectral properties of deformed Markov generators. Recent works have shown that tensor network method…
cond-mat.stat-mech2020
Dynamics and large deviation transitions of the XOR-Fredrickson-Andersen kinetically constrained model
Luke Causer, Igor Lesanovsky, Mari Carmen Bañuls +1
We study a one-dimensional classical stochastic kinetically constrained model (KCM) inspired by Rydberg atoms in their "facilitated" regime, where sites can flip only if a single o…