Entropy production and asymptotic factorization via thermalization: a collisional model approach
Stefano Cusumano, Vasco Cavina, Maximilian Keck, Antonella De Pasquale, and Vittorio Giovannetti

TL;DR
This paper investigates entropy production in open quantum systems using a collisional model, showing that the environment's entropy bounds are asymptotically saturated and the system factorizes at equilibrium.
Contribution
It introduces a collisional model approach to analyze entropy bounds and demonstrates asymptotic factorization and equilibrium in open quantum systems.
Findings
The extrinsic entropy bound is asymptotically saturated at large interaction times.
The system reaches an equilibrium state that factorizes from the environment.
Analytical proof of factorization in strong coupling and numerical analysis in weak coupling regimes.
Abstract
The Markovian evolution of an open quantum system is characterized by a positive entropy production, while the global entropy gets redistributed between the system and the environment degrees of freedom. Starting from these premises, we analyze the entropy variation of an open quantum system in terms of two distinct relations: the Clausius inequality, that provides an intrinsic bound for the entropy variation in terms of the heat absorbed by the system, and an extrinsic inequality, which instead relates the former to the corresponding entropy increment of the environment. By modeling the thermalization process with a Markovian collisional model, we compare and discuss the two bounds, showing that the latter is asymptotically saturated in the limit of large interaction time. In this regime not only the reduced density matrix of the system reaches an equilibrium configuration, but it also…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
