Using matrix product states to study the dynamical large deviations of kinetically constrained models
(2019)
Journal Article
Bañuls, M. C., & Garrahan, J. P. (2019). Using matrix product states to study the dynamical large deviations of kinetically constrained models. Physical Review Letters, 123(20), Article 200601. https://doi.org/10.1103/PhysRevLett.123.200601
Here we demonstrate that tensor network techniques | originally devised for the analysis of quantum many-body problems | are well suited for the detailed study of rare event statistics in kinetically constrained models (KCMs). As concrete examples we... Read More about Using matrix product states to study the dynamical large deviations of kinetically constrained models.