All Outputs (4)

Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations (2024)
Journal Article
Gillman, E., Rose, D. C., & Garrahan, J. P. (2024). Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations. Physical Review Letters, 132(19), Article 197301. https://doi.org/10.1103/PhysRevLett.132.197301

We present a framework to integrate tensor network (TN) methods with reinforcement learning (RL) for solving dynamical optimization tasks. We consider the RL actor-critic method, a model-free approach for solving RL problems, and introduce TNs as the... Read More about Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations.

Universal and nonuniversal probability laws in Markovian open quantum dynamics subject to generalized reset processes (2024)
Journal Article
Carollo, F., Lesanovsky, I., & Garrahan, J. P. (2024). Universal and nonuniversal probability laws in Markovian open quantum dynamics subject to generalized reset processes. Physical Review E, 109(4), Article 044129. https://doi.org/10.1103/physreve.109.044129

We consider quantum-jump trajectories of Markovian open quantum systems subject to stochastic in time resets of their state to an initial configuration. The reset events provide a partitioning of quantum trajectories into consecutive time intervals,... Read More about Universal and nonuniversal probability laws in Markovian open quantum dynamics subject to generalized reset processes.

Topological phases in the dynamics of the simple exclusion process (2024)
Journal Article
Garrahan, J. P., & Pollmann, F. (2024). Topological phases in the dynamics of the simple exclusion process. Physical Review E, 109(3), Article L032105. https://doi.org/10.1103/PhysRevE.109.L032105

We study the dynamical large deviations of the classical stochastic symmetric simple exclusion process (SSEP) by means of numerical matrix product states. We show that for half-filling, long-time trajectories with a large enough imbalance between the... Read More about Topological phases in the dynamics of the simple exclusion process.

Rejection-free quantum Monte Carlo in continuous time from transition path sampling (2024)
Journal Article
Causer, L., Sfairopoulos, K., Mair, J. F., & Garrahan, J. P. (2024). Rejection-free quantum Monte Carlo in continuous time from transition path sampling. Physical Review B, 109(2), Article 024307. https://doi.org/10.1103/physrevb.109.024307

Continuous-time quantum Monte Carlo refers to a class of algorithms designed to sample the thermal distribution of a quantum Hamiltonian through exact expansions of the Boltzmann exponential in terms of stochastic trajectories which are periodic in i... Read More about Rejection-free quantum Monte Carlo in continuous time from transition path sampling.