Multidimensional entropic bound: Estimator of entropy production for Langevin dynamics with an arbitrary time-dependent protocol
Entropy production (EP) is a key quantity in thermodynamics, and yet measuring EP has
remained a challenging task. Here we introduce an EP estimator, called multidimensional …
remained a challenging task. Here we introduce an EP estimator, called multidimensional …
Universal bounds on entropy production inferred from observed statistics
Nonequilibrium processes break time-reversal symmetry and generate entropy. Living
systems are driven out-of-equilibrium at the microscopic level of molecular motors that …
systems are driven out-of-equilibrium at the microscopic level of molecular motors that …
Estimating entanglement entropy via variational quantum circuits with classical neural networks
Entropy plays a crucial role in both physics and information science, encompassing classical
and quantum domains. In this paper, we present the quantum neural entropy estimator …
and quantum domains. In this paper, we present the quantum neural entropy estimator …
Using entropy measures for monitoring the evolution of activity patterns
In this work, we apply information theory inspired methods to quantify changes in daily
activity patterns. We use in-home movement monitoring data and show how they can help …
activity patterns. We use in-home movement monitoring data and show how they can help …
Inference of Time-Reversal Asymmetry from Time Series in a Piezoelectric Energy Harvester
We consider the problem of assessing the non-equilibrium behavior of a system from the
study of time series. In particular, we analyze experimental data from a piezoelectric energy …
study of time series. In particular, we analyze experimental data from a piezoelectric energy …
Inferring nonequilibrium thermodynamics from tilted equilibrium using information-geometric Legendre transform
Nonstationary thermodynamic quantities depend on the full details of nonstationary
probability distributions, making them difficult to measure directly in experiments and …
probability distributions, making them difficult to measure directly in experiments and …