Tracking the Footprints of Spin Fluctuations: A MultiMethod, MultiMessenger Study of the Two-Dimensional Hubbard Model
Thomas Sch\"afer, Nils Wentzell, Fedor \v{S}imkovic IV, Yuan-Yao He,, Cornelia Hille, Marcel Klett, Christian J. Eckhardt, Behnam Arzhang, Viktor, Harkov, Fran\c{c}ois-Marie Le R\'egent, Alfred Kirsch, Yan Wang, Aaram J., Kim, Evgeny Kozik, Evgeny A. Stepanov, Anna Kauch

TL;DR
This study compares various advanced quantum many-body methods to understand spin fluctuations and electronic regimes in the two-dimensional Hubbard model, revealing insights into quasiparticle behavior and magnetic correlations across different temperature regimes.
Contribution
It provides a comprehensive multi-method analysis of the Hubbard model, highlighting the strengths and limitations of each approach in capturing physical regimes and spin fluctuation effects.
Findings
Dynamical mean-field theory accurately approximates local quantities in the metallic regime.
Long-range antiferromagnetic correlations coexist with quasiparticles.
Imaginary time methods may struggle to capture non-Fermi liquid singularities.
Abstract
The Hubbard model represents the fundamental model for interacting quantum systems and electronic correlations. Using the two-dimensional half-filled Hubbard model at weak coupling as a testing ground, we perform a comparative study of a comprehensive set of state of the art quantum many-body methods. Upon cooling into its insulating antiferromagnetic ground-state, the model hosts a rich sequence of distinct physical regimes with crossovers between a high-temperature incoherent regime, an intermediate temperature metallic regime and a low-temperature insulating regime with a pseudogap created by antiferromagnetic fluctuations. We assess the ability of each method to properly address these physical regimes and crossovers through the computation of several observables probing both quasiparticle properties and magnetic correlations, with two numerically exact methods (diagrammatic and…
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.
