Intertwined spin, charge and pair correlations in the two-dimensional Hubbard model in the thermodynamic limit

ORAL

Abstract

The high-temperature superconducting cuprates are governed by intertwined spin, charge, and superconducting orders. While various state-of-the-art numerical methods have demonstrated that these phases also manifest themselves in doped Hubbard models, they differ on which is the actual ground state. Finite cluster methods typically indicate that stripe order dominates while embedded quantum cluster methods, which access the thermodynamic limit by treating long-range correlations with a dynamical mean field, conclude that superconductivity does. Here, we report the observation of fluctuating spin and charge stripes in the doped single-band Hubbard model using a quantum Monte Carlo dynamical cluster approximation (DCA) method. By resolving both the fluctuating spin and charge orders using DCA, we demonstrate that they survive in the doped Hubbard model in the thermodynamic limit. This discovery also provides a new opportunity to study the influence of fluctuating stripe correlations on the model's pairing correlations within a unified numerical framework. Using this approach, we also find evidence for pair-density-wave correlations whose strength is correlated with that of the stripes.

*This work was supported by the Scientific Discovery through Advanced Computing (SciDAC) program funded by the U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research and Basic Energy Sciences, Division of Materials Sciences and Engineering. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. A part of the analysis of the results performed by T. A. M. was supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Materials Sciences and Engineering Division.

Publication: https://arxiv.org/abs/2106.01944

Presenters

  • Peizhi Mai

    • Oak Ridge National Lab

Authors

  • Peizhi Mai

    • Oak Ridge National Lab
  • Seher Karakuzu

    • Oak Ridge National Lab
  • Giovanni Balduzzi

    • ETH Zurich
    • ETH Zürich
  • Steven S Johnston

    • University of Tennessee
  • Thomas A Maier

    • Oak Ridge National Lab