Optimal Sampling of Dynamical Large Deviations in Two Dimensions via Tensor Networks
(2023)
Journal Article
Causer, L., Bañuls, M. C., & Garrahan, J. P. (2023). Optimal Sampling of Dynamical Large Deviations in Two Dimensions via Tensor Networks. Physical Review Letters, 130(14), Article 147401. https://doi.org/10.1103/PhysRevLett.130.147401
We use projected entangled-pair states (PEPS) to calculate the large deviation statistics of the dynamical activity of the two-dimensional East model, and the two-dimensional symmetric simple exclusion process (SSEP) with open boundaries, in lattices... Read More about Optimal Sampling of Dynamical Large Deviations in Two Dimensions via Tensor Networks.