522 citations · 12k across the 218 of their papers we have counts for
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Inverse thermodynamic uncertainty relations: general upper bounds on the fluctuations of trajectory observables
George Bakewell-Smith, Federico Girotti, Mădălin Guţă +1
Thermodynamic uncertainty relations (TURs) are general lower bounds on the size of fluctutations of dynamical observables. They have important consequences, one being that the prec…
Slow dynamics and non-ergodicity of the bosonic quantum East model in the semiclassical limit
Andreas Geißler, Juan P. Garrahan
We study the unitary dynamics of the bosonic quantum East model, a kinetically constrained lattice model which generalises the quantum East model to arbitrary occupation per site.…
Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations
Edward Gillman, Dominic C. Rose, Juan P. Garrahan
We present a framework to integrate tensor network (TN) methods with reinforcement learning (RL) for solving dynamical optimisation tasks. We consider the RL actor-critic method, a…
Optimal sampling of dynamical large deviations in two dimensions via tensor networks
Luke Causer, Mari Carmen Bañuls, Juan P. Garrahan
We use projected entangled-pair states (PEPS) to calculate the large deviations (LD) statistics of the dynamical activity of the two dimensional East model, and the two dimensional…
Training neural network ensembles via trajectory sampling
Jamie F. Mair, Dominic C. Rose, Juan P. Garrahan
In machine learning, there is renewed interest in neural network ensembles (NNEs), whereby predictions are obtained as an aggregate from a diverse set of smaller models, rather tha…
Reaction-limited quantum reaction-diffusion dynamics
Gabriele Perfetto, Federico Carollo, Juan P. Garrahan +1
We consider the quantum nonequilibrium dynamics of systems where fermionic particles coherently hop on a one-dimensional lattice and are subject to dissipative processes analogous…