Generalized Gibbs ensemble prediction of prethermalization plateaus and their relation to nonthermal steady states in integrable systems
Marcus Kollar, F. Alexander Wolf, Martin Eckstein

TL;DR
This paper demonstrates that prethermalization plateaus in nearly integrable quantum systems can be accurately predicted by generalized Gibbs ensembles, linking their relaxation behavior to nonthermal steady states in integrable systems.
Contribution
It shows that generalized Gibbs ensembles can predict prethermalization plateaus, connecting the dynamics of integrable and nearly integrable quantum systems.
Findings
Prethermalization plateaus are correctly predicted by generalized Gibbs ensembles.
Nonthermal steady states in integrable systems are akin to prethermalized states that do not decay.
Relaxation behaviors of integrable and nearly integrable systems are described by the same statistical theory.
Abstract
A quantum many-body system which is prepared in the ground state of an integrable Hamiltonian does not directly thermalize after a sudden small parameter quench away from integrability. Rather, it will be trapped in a prethermalized state and can thermalize only at a later stage. We discuss several examples for which this prethermalized state shares some properties with the nonthermal steady state that emerges in the corresponding integrable system. These examples support the notion that nonthermal steady states in integrable systems may be viewed as prethermalized states that never decay further. Furthermore we show that prethermalization plateaus are under certain conditions correctly predicted by generalized Gibbs ensembles, which are the appropriate extension of standard statistical mechanics in the presence of many constants of motion. This establishes that the relaxation behaviors…
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.
