Professor JUAN GARRAHAN's Outputs (94)

Random matrix theory for quantum and classical metastability in local Liouvillians (2022)
Journal Article
Li, J. L., Rose, D. C., Garrahan, J. P., & Luitz, D. J. (2022). Random matrix theory for quantum and classical metastability in local Liouvillians. Physical Review B, 105(18), Article L180201. https://doi.org/10.1103/physrevb.105.l180201

We consider the effects of strong dissipation in quantum systems with a notion of locality, which induces a hierarchy of many-body relaxation timescales as shown in [Phys. Rev. Lett. 124, 100604 (2020)]. If the strength of the dissipation varies stro... Read More about Random matrix theory for quantum and classical metastability in local Liouvillians.

Hierarchical classical metastability in an open quantum East model (2022)
Journal Article
Rose, D. C., MacIeszczak, K., Lesanovsky, I., & Garrahan, J. P. (2022). Hierarchical classical metastability in an open quantum East model. Physical Review E, 105(4), Article 044121. https://doi.org/10.1103/PhysRevE.105.044121

We study in detail an open quantum generalization of a classical kinetically constrained model - the East model - known to exhibit slow glassy dynamics stemming from a complex hierarchy of metastable states with distinct lifetimes. Using the recently... Read More about Hierarchical classical metastability in an open quantum East model.

Exact solution of the "rule 150" reversible cellular automaton (2022)
Journal Article
Wilkinson, J. W., Prosen, T., & Garrahan, J. P. (2022). Exact solution of the "rule 150" reversible cellular automaton. Physical Review E, 105(3), Article 034124. https://doi.org/10.1103/PhysRevE.105.034124

We study the dynamics and statistics of the Rule 150 reversible cellular automaton (RCA). This is a one-dimensional lattice system of binary variables with synchronous (Floquet) dynamics that corresponds to a bulk deterministic and reversible discret... Read More about Exact solution of the "rule 150" reversible cellular automaton.

Finite time large deviations via matrix product states (2022)
Journal Article
Causer, L., Bañuls, M. C., & Garrahan, J. P. (2022). Finite time large deviations via matrix product states. Physical Review Letters, 128(9), Article 090605. https://doi.org/10.1103/PhysRevLett.128.090605

Recent work has shown the effectiveness of tensor network methods for computing large deviation functions in constrained stochastic models in the infinite time limit. Here we show that these methods can also be used to study the statistics of dynamic... Read More about Finite time large deviations via matrix product states.

Finite Time Large Deviations via Matrix Product States (2022)
Journal Article
Causer, L., Bañuls, M. C., & Garrahan, J. P. (2022). Finite Time Large Deviations via Matrix Product States. Physical Review Letters, 128(9), Article 090605. https://doi.org/10.1103/PhysRevLett.128.090605

Recent work has shown the effectiveness of tensor network methods for computing large deviation functions in constrained stochastic models in the infinite time limit. Here we show that these methods can also be used to study the statistics of dynamic... Read More about Finite Time Large Deviations via Matrix Product States.

Topographic Control of Order in Quasi-2D Granular Phase Transitions (2021)
Journal Article
Downs, J. G., Smith, N. D., Mandadapu, K. K., Garrahan, J. P., & Smith, M. I. (2021). Topographic Control of Order in Quasi-2D Granular Phase Transitions. Physical Review Letters, 127(26), Article 268002. https://doi.org/10.1103/PhysRevLett.127.268002

We experimentally investigate the nature of 2D phase transitions in a quasi-2D granular fluid. Using a surface decorated with periodically spaced dimples we observe interfacial tension between coexisting granular liquid and crystal phases. Measuremen... Read More about Topographic Control of Order in Quasi-2D Granular Phase Transitions.

Reinforcement learning of rare diffusive dynamics (2021)
Journal Article
Das, A., Rose, D. C., Garrahan, J. P., & Limmer, D. T. (2021). Reinforcement learning of rare diffusive dynamics. Journal of Chemical Physics, 155(13), Article 134105. https://doi.org/10.1063/5.0057323

We present a method to probe rare molecular dynamics trajectories directly using reinforcement learning. We consider trajectories that are conditioned to transition between regions of configuration space in finite time, such as those relevant in the... Read More about Reinforcement learning of rare diffusive dynamics.

Solvable class of non-Markovian quantum multipartite dynamics (2021)
Journal Article
Budini, A. A., & Garrahan, J. P. (2021). Solvable class of non-Markovian quantum multipartite dynamics. Physical Review A, 104(3), Article 032206. https://doi.org/10.1103/PhysRevA.104.032206

We study a class of multipartite open quantum dynamics for systems with an arbitrary number of qubits. The non-Markovian quantum master equation can involve arbitrary single or multipartite and time-dependent dissipative coupling mechanisms, expresse... Read More about Solvable class of non-Markovian quantum multipartite dynamics.

Theory of classical metastability in open quantum systems (2021)
Journal Article
Macieszczak, K., Rose, D. C., Lesanovsky, I., & Garrahan, J. P. (2021). Theory of classical metastability in open quantum systems. Physical Review Research, 3(3), 1-26. https://doi.org/10.1103/PhysRevResearch.3.033047

We present a general theory of classical metastability in open quantum systems. Metastability is a consequence of a large separation in timescales in the dynamics, leading to the existence of a regime when states of the system appear stationary, befo... Read More about Theory of classical metastability in open quantum systems.

Large Deviations at Level 2.5 for Markovian Open Quantum Systems: Quantum Jumps and Quantum State Diffusion (2021)
Journal Article
Carollo, F., Garrahan, J. P., & Jack, R. L. (2021). Large Deviations at Level 2.5 for Markovian Open Quantum Systems: Quantum Jumps and Quantum State Diffusion. Journal of Statistical Physics, 184(1), Article 13. https://doi.org/10.1007/s10955-021-02799-x

We consider quantum stochastic processes and discuss a level 2.5 large deviation formalism providing an explicit and complete characterisation of fluctuations of time-averaged quantities, in the large-time limit. We analyse two classes of quantum sto... Read More about Large Deviations at Level 2.5 for Markovian Open Quantum Systems: Quantum Jumps and Quantum State Diffusion.

Symmetry-induced fluctuation relations in open quantum systems (2021)
Journal Article
Marcantoni, S., Pérez-Espigares, C., & Garrahan, J. P. (2021). Symmetry-induced fluctuation relations in open quantum systems. Physical Review E, 104(1), Article 014108. https://doi.org/10.1103/physreve.104.014108

We derive a general scheme to obtain quantum fluctuation relations for dynamical observables in open quantum systems. For concreteness, we consider Markovian nonunitary dynamics that is unraveled in terms of quantum jump trajectories and exploit tech... Read More about Symmetry-induced fluctuation relations in open quantum systems.

Optimal sampling of dynamical large deviations via matrix product states (2021)
Journal Article
Causer, L., Bañuls, M. C., & Garrahan, J. P. (2021). Optimal sampling of dynamical large deviations via matrix product states. Physical Review E, 103(6), Article 062144. https://doi.org/10.1103/PhysRevE.103.062144

The large deviation statistics of dynamical observables is encoded in the spectral properties of deformed Markov generators. Recent works have shown that tensor network methods are well suited to compute accurately the relevant leading eigenvalues an... Read More about Optimal sampling of dynamical large deviations via matrix product states.

A reinforcement learning approach to rare trajectory sampling (2021)
Journal Article
Rose, D. C., Mair, J. F., & Garrahan, J. P. (2021). A reinforcement learning approach to rare trajectory sampling. New Journal of Physics, 23, Article 013013. https://doi.org/10.1088/1367-2630/abd7bd

Very often when studying non-equilibrium systems one is interested in analysing dynamical behaviour that occurs with very low probability, so called rare events. In practice, since rare events are by definition atypical, they are often difficult to a... Read More about A reinforcement learning approach to rare trajectory sampling.

Exact solution of the Floquet-PXP cellular automaton (2020)
Journal Article
Wilkinson, J. W. P., Klobas, K., Prosen, T., & Garrahan, J. P. (2020). Exact solution of the Floquet-PXP cellular automaton. Physical Review E, 102(6), Article 062107. https://doi.org/10.1103/PhysRevE.102.062107

We study the dynamics of a bulk deterministic Floquet model, the Rule 201 synchronous one-dimensional reversible cellular automaton (RCA201). The system corresponds to a deterministic, reversible, and discrete version of the PXP model, whereby a site... Read More about Exact solution of the Floquet-PXP cellular automaton.

Matrix product state of multi-time correlations (2020)
Journal Article
Klobas, K., Vanicat, M., Garrahan, J. P., & Prosen, T. (2020). Matrix product state of multi-time correlations. Journal of Physics A: Mathematical and Theoretical, 53(33), Article 335001. https://doi.org/10.1088/1751-8121/ab8c62

For an interacting spatio-temporal lattice system we introduce a formal way of expressing multi-time correlation functions of local observables located at the same spatial point with a time state, i.e. a statistical distribution of configurations obs... Read More about Matrix product state of multi-time correlations.

Symmetry-induced fluctuation relations for dynamical observables irrespective of their behavior under time reversal (2020)
Journal Article
Marcantoni, S., Pérez-Espigares, C., & Garrahan, J. P. (2020). Symmetry-induced fluctuation relations for dynamical observables irrespective of their behavior under time reversal. Physical Review E, 101(6), Article 062142. https://doi.org/10.1103/physreve.101.062142

We extend previous work to describe a class of fluctuation relations (FRs) that emerge as a consequence of symmetries at the level of stochastic trajectories in Markov chains. We prove that given such a symmetry, and for a suitable dynamical observab... Read More about Symmetry-induced fluctuation relations for dynamical observables irrespective of their behavior under time reversal.

Nonequilibrium Quantum Many-Body Rydberg Atom Engine (2020)
Journal Article
Carollo, F., Gambetta, F. M., Brandner, K., Garrahan, J. P., & Lesanovsky, I. (2020). Nonequilibrium Quantum Many-Body Rydberg Atom Engine. Physical Review Letters, 124(17), Article 170602. https://doi.org/10.1103/physrevlett.124.170602

The standard approach to quantum engines is based on equilibrium systems and on thermo-dynamic transformations between Gibbs states. However, non-equilibrium quantum systems offer enhanced experimental flexibility in the control of their parameters a... Read More about Nonequilibrium Quantum Many-Body Rydberg Atom Engine.

Classical stochastic discrete time crystals (2019)
Journal Article
Gambetta, F. M., Carollo, F., Lazarides, A., Lesanovsky, I., & Garrahan, J. P. (2019). Classical stochastic discrete time crystals. Physical Review E, 100(6), Article 060105(R). https://doi.org/10.1103/PhysRevE.100.060105

© 2019 American Physical Society. We describe a general and simple paradigm for discrete time crystals (DTCs), systems with a stable subharmonic response to an external driving field, in a classical thermal setting. We consider, specifically, an Isin... Read More about Classical stochastic discrete time crystals.

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.

Theory for Glassy Behavior of Supercooled Liquid Mixtures (2019)
Journal Article
Katira, S., Garrahan, J. P., & Mandadapu, K. K. (2019). Theory for Glassy Behavior of Supercooled Liquid Mixtures. Physical Review Letters, 123(10), 1-6. https://doi.org/10.1103/PhysRevLett.123.100602

We present a model for glassy dynamics in supercooled liquid mixtures. Given the relaxation behavior of individual supercooled liquids, the model predicts the relaxation times of their mixtures as temperature is decreased. The model is based on dynam... Read More about Theory for Glassy Behavior of Supercooled Liquid Mixtures.