Identifying Instabilities with Quantum Geometry in Flat Band Systems

ORAL

Abstract

Flat-band systems lack a well-defined Fermi surface, challenging the conventional nesting-based picture of instabilities toward Landau order. We introduce generalized Bloch vectors to reveal an intrinsic nesting structure encoded in the band geometry, leading to maximal susceptibility at the mean-field level and driving ordered phases. We further show that the correlation length of an order parameter satisfying perfect nesting—even at finite momentum—is entirely characterized by a generalized quantum metric, and is therefore lower-bounded in topologically non-trivial bands. As an example, we demonstrate hidden nesting for staggered antiferromagnetic spin order in an exactly flat-band model—contrary to the usual association of flat bands with ferromagnetism. Determinantal quantum Monte Carlo confirms the emergence of this long-range order. We further show that breaking time-reversal symmetry can induce an FFLO-like state without Zeeman splitting.

*J.-X.Z. and L.S. were funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant Agreement No. 853116, acronym TRANSPORT). W.O.W. acknowledges support from the Gordon and Betty Moore Foundation through Grant GBMF8690 to the University of California, Santa Barbara, to the Kavli Institute for Theoretical Physics (KITP). This research was supported in part by grant NSF PHY-2309135 to the Kavli Institute for Theoretical Physics (KITP). L.B. was supported by the US Department of Energy grant DE-SC0020305, and the Simons Collaboration on Ultra-Quantum Matter, which is a grant from the Simons Foundation (Grant No. 651440).

Publication: arXiv:2504.03882

Presenters

  • Jia-Xin Zhang

    • French American Center for Theoretical Science, CNRS, KITP

Authors

  • Jia-Xin Zhang

    • French American Center for Theoretical Science, CNRS, KITP
  • Wen O Wang

    • University of California, Santa Barbara
    • Stanford University
  • Leon Balents

    • University of California, Santa Barbara
  • Lucile Savary

    • CNRS