Random Matrix Statistics in Propagating Correlation Fronts of Fermions
Kazuya Fujimoto, Tomohiro Sasamoto

TL;DR
This paper reveals a universal connection between the statistical properties of propagating correlation fronts in non-interacting fermions and Gaussian orthogonal and symplectic random matrix ensembles, bridging quantum dynamics and random matrix theory.
Contribution
It uncovers a novel link between random matrix statistics and correlation front propagation in quantum fermionic systems, expanding understanding of quantum dynamics.
Findings
Moments of fluctuations follow universal random matrix correlations
Correlation fronts exhibit Gaussian orthogonal and symplectic statistics
Establishes a new connection between quantum dynamics and random matrix theory
Abstract
We theoretically study propagating correlation fronts in non-interacting fermions on a one-dimensional lattice starting from an alternating state, where the fermions occupy every other site. We find that, in the long-time asymptotic regime, all the moments of dynamical fluctuations around the correlation fronts are described by the universal correlation functions of Gaussian orthogonal and symplectic random matrices at the soft edge. Our finding here sheds light on a hitherto unknown connection between random matrix theory and correlation propagation in quantum dynamics.
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 chaos and dynamical systems · Random Matrices and Applications · Cold Atom Physics and Bose-Einstein Condensates
