Moment method and continued fraction expansion in Floquet Operator Krylov Space
Hsiu-Chung Yeh, Aditi Mitra

TL;DR
This paper develops a moment method using continued fraction expansion to analyze Floquet operators via Krylov space, enabling the construction of Floquet models and identifying conditions for non-unitary dynamics and stable edge modes.
Contribution
It introduces a novel moment method linking autocorrelation functions to Floquet models through Krylov angles, revealing insights into edge modes and non-unitary dynamics in Floquet systems.
Findings
Constructed Floquet-ITFIM from autocorrelation functions.
Identified conditions indicating non-unitary dynamics.
Demonstrated stable m-periodic edge modes in Floquet systems.
Abstract
Recursion methods such as Krylov techniques map complex dynamics to an effective non-interacting problem in one dimension. For example, the operator Krylov space for Floquet dynamics can be mapped to the dynamics of an edge operator of the one-dimensional Floquet inhomogeneous transverse field Ising model (ITFIM), where the latter, after a Jordan-Wigner transformation, is a Floquet model of non-interacting Majorana fermions, and the couplings correspond to Krylov angles. We present an application of this showing that a moment method exists where given an autocorrelation function, one can construct the corresponding Krylov angles, and from that the corresponding Floquet-ITFIM. Consequently, when no solutions for the Krylov angles are obtained, it indicates that the autocorrelation is not generated by unitary dynamics. We highlight this by studying certain special cases: stable…
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
TopicsMatrix Theory and Algorithms · Advanced Mathematical Modeling in Engineering · Numerical methods for differential equations
