Probing hydrodynamic crossovers with dissipation-assisted operator evolution
N. S. Srivatsa, Oliver Lunt, Tibor Rakovszky, Curt von Keyserlingk

TL;DR
This paper uses dissipation-assisted operator evolution to study the transition from ballistic to diffusive transport in an interacting lattice model, revealing how diffusion constants depend on charge density.
Contribution
It introduces a generalized DAOE algorithm that reduces operator entanglement and accurately predicts diffusion behavior across various densities.
Findings
Diffusion constant scales as D ∝ 1/ρ at low densities.
The generalized DAOE algorithm effectively approximates non-local operators.
Charge correlation functions match numerical data across densities.
Abstract
Using artificial dissipation to tame entanglement growth, we chart the emergence of diffusion in a generic interacting lattice model for varying U(1) charge densities. We follow the crossover from ballistic to diffusive transport above a scale set by the scattering length, finding the intuitive result that the diffusion constant scales as at low densities . Our numerical approach generalizes the Dissipation-Assisted Operator Evolution (DAOE) algorithm: in the spirit of the BBGKY hierarchy, we effectively approximate non-local operators by their ensemble averages, rather than discarding them entirely. This greatly reduces the operator entanglement entropy, while still giving accurate predictions for diffusion constants across all density scales. We further construct a minimal model for the transport crossover, yielding charge correlation functions which agree…
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.
