522 citations · 12k across the 218 of their papers we have counts for
6 papers · 1 filter
The quantum Newman-Moore model in a longitudinal field
Konstantinos Sfairopoulos, Juan P. Garrahan
We study the quantum Newman-Moore model, or quantum triangular plaquette model (qTPM), in the presence of a longitudinal field (qTPMz). We present evidence that indicates that the…
Efficient post-selection in light-cone correlations of monitored quantum circuits
Jimin Li, Robert L. Jack, Bruno Bertini +1
We consider how to target evolution conditioned on atypical measurement outcomes in monitored quantum circuits, i.e., the post-selection problem. We show that for a simple class of…
Discrete generative diffusion models without stochastic differential equations: a tensor network approach
Luke Causer, Grant M. Rotskoff, Juan P. Garrahan
Diffusion models (DMs) are a class of generative machine learning methods that sample a target distribution by transforming samples of a trivial (often Gaussian) distribution using…
Exact results on the dynamics of the stochastic Floquet-East model
Cecilia De Fazio, Juan P. Garrahan, Katja Klobas
We introduce a stochastic generalisation of the classical deterministic Floquet-East model, a discrete circuit with the same kinetic constraint as the East model of glasses. We pro…
Dynamical heterogeneity and large deviations in the open quantum East glass model from tensor networks
Luke Causer, Mari Carmen Bañuls, Juan P. Garrahan
We study the non-equilibrium dynamics of the dissipative quantum East model via numerical tensor networks. We use matrix product states to represent evolution under quantum-jump un…
Non-thermal eigenstates and slow relaxation in quantum Fredkin spin chains
Luke Causer, Mari Carmen Bañuls, Juan P. Garrahan
We study the dynamics and thermalization of the Fredkin spin chain, a system with local three-body interactions, particle conservation and explicit kinetic constraints. We consider…