activity
20062025
most citedNonequilibrium Markov processes conditioned on large deviations

324 citations · 2.1k across the 40 of their papers we have counts for

collaborators

41 papers

cond-mat.stat-mech2025

Fluctuation Relations associated to an arbitrary bijection in path space

Raphael Chetrite, Stefano Marcantoni

We introduce a framework to identify Fluctuation Relations for vector-valued observables in physical systems evolving through a stochastic dynamics. These relations arise from the…

quant-ph2024★ 1 cited

Spikes in Poissonian quantum trajectories

Alan Sherry, Cedric Bernardin, Abhishek Dhar +2

We consider the dynamics of a continuously monitored qubit in the limit of strong measurement rate where the quantum trajectory is described by a stochastic master equation with Po…

math-ph2024

Macroscopic Fluctuation Theory for Ginzburg-Landau dynamics with long range interactions

Cédric Bernardin, Raphaël Chetrite

Focusing on a famous class of interacting diffusion processes called Ginzburg-Landau (GL) dynamics, we extend the Macroscopic Fluctuations Theory (MFT) to these systems in the case…

math-ph2022

Algebraic structures underlying quantum independences : Theory and Applications

Raphael Chetrite, Frederic Patras

The present survey results from the will to reconcile two approaches to quantum probabilities: one rather physical and coming directly from quantum mechanics, the other more algebr…

quant-ph2022★ 21 cited

Quantum resetting in continuous measurement induced dynamics of a qubit

Varun Dubey, Raphael Chetrite, Abhishek Dhar

We study the evolution of a two-state system that is monitored continuously but with interactions with the detector tuned so as to avoid the Zeno affect. The system is allowed to i…

cond-mat.stat-mech2022★ 33 cited

Martingales for physicists: A treatise on stochastic thermodynamics and beyond

Édgar Roldán, Izaak Neri, Raphael Chetrite +4

We review the theory of martingales as applied to stochastic thermodynamics and stochastic processes in physics more generally.