Professor JUAN GARRAHAN's Outputs (78)

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.

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.

Exact large deviation statistics and trajectory phase transition of a deterministic boundary driven cellular automaton (2019)
Journal Article
Buča, B., Garrahan, J. P., Prosen, T., & Vanicat, M. (2019). Exact large deviation statistics and trajectory phase transition of a deterministic boundary driven cellular automaton. Physical Review E, 100(2), 1-6. https://doi.org/10.1103/physreve.100.020103

We study the statistical properties of the long-time dynamics of the rule 54 reversible cellular automaton (CA), driven stochastically at its boundaries. This CA can be considered as a discrete-time and deterministic version of the Fredrickson-Anders... Read More about Exact large deviation statistics and trajectory phase transition of a deterministic boundary driven cellular automaton.

Physical swap dynamics, shortcuts to relaxation, and entropy production in dissipative Rydberg gases (2019)
Journal Article
Gutiérrez, R., Garrahan, J. P., & Lesanovsky, I. (2019). Physical swap dynamics, shortcuts to relaxation, and entropy production in dissipative Rydberg gases. Physical Review E, 100(1), Article 012110. https://doi.org/10.1103/physreve.100.012110

Dense Rydberg gases are out-of-equilibrium systems where strong density-density interactions give rise to effective kinetic constraints. They cause dynamic arrest associated with highly constrained many-body configurations, leading to slow relaxation... Read More about Physical swap dynamics, shortcuts to relaxation, and entropy production in dissipative Rydberg gases.

Ordering, Flexibility and Frustration in Arrays of Porphyrin Nanorings (2019)
Journal Article
Summerfield, A., Baldoni, M., Kondratuk, D. V., Anderson, H. L., Whitelam, S., Garrahan, J. P., Besley, E., & Beton, P. H. (2019). Ordering, Flexibility and Frustration in Arrays of Porphyrin Nanorings. Nature Communications, 10, Article 2932. https://doi.org/10.1038/s41467-019-11009-y

The regular packing of atoms, molecules and nanoparticles provides the basis for the understanding of structural order within condensed phases of matter. Typically the constituent particles are considered to be rigid with a fixed shape. Here we show,... Read More about Ordering, Flexibility and Frustration in Arrays of Porphyrin Nanorings.

Localization in spin chains with facilitation constraints and disordered interactions (2019)
Journal Article
Ostmann, M., Marcuzzi, M., Garrahan, J. P., & Lesanovsky, I. (2019). Localization in spin chains with facilitation constraints and disordered interactions. Physical Review A, 99(6), 1-7. https://doi.org/10.1103/PhysRevA.99.060101

Quantum many-body systems with kinetic constraints exhibit intriguing relaxation dynamics. Recent experimental progress in the field of cold atomic gases offers a handle for probing collective behavior of such systems, in particular for understanding... Read More about Localization in spin chains with facilitation constraints and disordered interactions.