Irreversibility and biased ensembles in active matter: Insights from stochastic thermodynamics
Active systems evade the rules of equilibrium thermodynamics by constantly dissipating
energy at the level of their microscopic components. This energy flux stems from the …
energy at the level of their microscopic components. This energy flux stems from the …
Ergodicity and large deviations in physical systems with stochastic dynamics
RL Jack - The European Physical Journal B, 2020 - Springer
In ergodic physical systems, time-averaged quantities converge (for large times) to their
ensemble-averaged values. Large deviation theory describes rare events where these time …
ensemble-averaged values. Large deviation theory describes rare events where these time …
Eigenvalue crossing as a phase transition in relaxation dynamics
When a system's parameter is abruptly changed, a relaxation toward the new equilibrium of
the system follows. We show that a crossing between the second and third eigenvalues of …
the system follows. We show that a crossing between the second and third eigenvalues of …
Optimizing active work: Dynamical phase transitions, collective motion, and jamming
Active work measures how far the local self-forcing of active particles translates into real
motion. Using population Monte Carlo methods, we investigate large deviations in the active …
motion. Using population Monte Carlo methods, we investigate large deviations in the active …
Exact anomalous current fluctuations in a deterministic interacting model
We analytically compute the full counting statistics of charge transfer in a classical
automaton of interacting charged particles. Deriving a closed-form expression for the …
automaton of interacting charged particles. Deriving a closed-form expression for the …
Observation of a dynamical quantum phase transition by a superconducting qubit simulation
XY Guo, C Yang, Y Zeng, Y Peng, HK Li, H Deng… - Physical Review …, 2019 - APS
A dynamical quantum phase transition can occur during time evolution of sudden quenched
quantum systems across a phase transition. It corresponds to the nonanalytic behavior at a …
quantum systems across a phase transition. It corresponds to the nonanalytic behavior at a …
Learning nonequilibrium statistical mechanics and dynamical phase transitions
Nonequilibrium statistical mechanics exhibit a variety of complex phenomena far from
equilibrium. It inherits challenges of equilibrium, including accurately describing the joint …
equilibrium. It inherits challenges of equilibrium, including accurately describing the joint …
A reinforcement learning approach to rare trajectory sampling
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 …
behaviour that occurs with very low probability, so called rare events. In practice, since rare …
Using matrix product states to study the dynamical large deviations of kinetically constrained models
MC Banuls, JP Garrahan - Physical review letters, 2019 - APS
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 …
quantum many-body problems—are well suited for the detailed study of rare event statistics …
Finite time large deviations via matrix product states
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 …
deviation functions in constrained stochastic models in the infinite time limit. Here we show …