Dynamical quantum ergodicity from energy level statistics
Amit Vikram, Victor Galitski

TL;DR
This paper introduces a rigorous, observable-independent definition of quantum ergodicity based on cyclic permutations of energy eigenstates, linking it to energy level statistics and classical ergodic theory.
Contribution
It generalizes classical cyclic ergodicity to quantum systems, relating quantum ergodicity to energy level statistics and providing a framework for quantum ergodic hierarchy.
Findings
Quantum cyclic ergodicity is characterized by the Fourier transform of energy eigenstates.
Wigner-Dyson level statistics are derived as a special case of quantum cyclic ergodicity.
Irrational flows on a 2D torus are shown to be classical and quantum cyclic ergodic.
Abstract
Ergodic theory provides a rigorous mathematical description of chaos in classical dynamical systems, including a formal definition of the ergodic hierarchy. How ergodic dynamics is reflected in the energy levels and eigenstates of a quantum system is the central question of quantum chaos, but a rigorous quantum notion of ergodicity remains elusive. Closely related to the classical ergodic hierarchy is a less-known notion of cyclic approximate periodic transformations [see, e.g., I. Cornfield, S. Fomin, and Y. Sinai, Ergodic Theory (Springer-Verlag New York, 1982)], which maps any "ergodic" dynamical system to a cyclic permutation on a circle and arguably represents the most elementary form of ergodicity. This paper shows that cyclic ergodicity generalizes to quantum dynamical systems, and provides a rigorous observable-independent definition of quantum ergodicity. It implies the ability…
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 · Quantum chaos and dynamical systems · Opinion Dynamics and Social Influence
