Partial Reversibility and Counterdiabatic Driving in Nearly Integrable Systems
Rohan Banerjee, Shahyad Khamnei, Anatoli Polkovnikov, Stewart Morawetz

TL;DR
This paper investigates the limits of reversibility in nearly integrable systems, exploring partial reversibility, counterdiabatic driving techniques, and implications for quantum many-body systems with broken integrability.
Contribution
It introduces a framework for understanding partial reversibility and counterdiabatic driving in nearly integrable systems, extending concepts to quantum many-body contexts.
Findings
Reversible processes are limited in mixed phase space regimes.
Approximate counterdiabatic driving can reduce dissipative losses.
Phenomenology extends to quantum many-body systems with degeneracy.
Abstract
Adiabatic (or reversible) processes are the key concept unifying our understanding of thermodynamics and dynamical systems. Reversibility in the thermodynamic sense is understood as entropy-preserving processes, such as in the idealized Carnot engine, whereas in integrable dynamical systems it is understood as the conservation of the action variables. Between these two idealized limits, however, where the phase space can become mixed, things are much less clear. In this work, we first determine the extent to which reversible processes are even possible in this regime. We then explore how the dissipative losses resulting from rapidly driving these kinds of systems can be fought by approximate counterdiabatic driving. Finally, we argue that much of the phenomenology should be the same for quantum many-body systems with large degeneracy in the presence of integrability breaking…
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.
Taxonomy
TopicsQuantum many-body systems · Advanced Thermodynamics and Statistical Mechanics · Control and Stability of Dynamical Systems
