Abstract
Competing inhomogeneous orders are a central feature of correlated electron materials, including the high-temperature superconductors. The two-dimensional Hubbard model serves as the canonical microscopic physical model for such systems. Multiple orders have been proposed in the underdoped part of the phase diagram, which corresponds to a regime of maximum numerical difficulty. By combining the latest numerical methods in exhaustive simulations, we uncover the ordering in the underdoped ground state. We find a stripe order that has a highly compressible wavelength on an energy scale of a few kelvin, with wavelength fluctuations coupled to pairing order. The favored filled stripe order is different from that seen in real materials. Our results demonstrate the power of modern numerical methods to solve microscopic models, even in challenging settings.
Original language | English |
---|---|
Pages (from-to) | 1155-1160 |
Number of pages | 6 |
Journal | Science |
Volume | 358 |
Issue number | 6367 |
DOIs | |
State | Published - Dec 1 2017 |
Externally published | Yes |
Funding
Work performed by B.-X.Z., C.-M.C., M.-P.Q., H.S., S.R.W., S.Z., and G.K.-L.C. was supported by the Simons Foundation through the Simons Collaboration on the Many Electron Problem. S.R.W. acknowledges support from the NSF (DMR-1505406), as do S.Z. and H.S. (DMR-1409510). M.-P.Q. was also supported by the U.S. Department of Energy (DOE) (DE-SC0008627). G.K.-L.C. acknowledges support from a Simons Investigators Award and the DOE (DE-SC0008624). DMET calculations were carried out at the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by DE-AC02-05CH11231. AFQMC calculations were carried out at the Extreme Science and Engineering Discovery Environment, supported by the NSF (ACI-1053575); at the Oak Ridge Leadership Computing Facility at Oak Ridge National Lab; and at the computational facilities at the College of William and Mary. P.C. was supported by the European Research Council under the European Union’s Horizon 2020 research and innovation program (grant no. 677061). G.E. and R.M.N. acknowledge support from the Deutsche Forschungsgemeinschaft (DFG) through grant no. NO 314/5-1 in Research Unit FOR 1807. Data used in this work are in the supplementary materials and online at github.com/zhengbx/ stripe_data. The DMET calculations were performed with the DMET library, available online at bitbucket.org/ zhengbx/libdmet. The real-space DMRG calculations were performed with ITensor, available online at ITensor.org. Access to the other computer codes can be arranged with the authors upon reasonable request: For the AFQMC code, please contact S.Z.; for the hybrid DMRG code, please contact R.M.N.; and for the iPEPS code, please contact P.C.
Funders | Funder number |
---|---|
National Science Foundation | DMR-1409510, DMR-1505406 |
U.S. Department of Energy | DE-SC0008627, DE-SC0008624 |
Simons Foundation | |
Office of Science | DE-AC02-05CH11231, ACI-1053575 |
Oak Ridge National Laboratory | |
College of William and Mary | |
Horizon 2020 Framework Programme | 677061 |
European Research Council | |
Deutsche Forschungsgemeinschaft | FOR 1807, NO 314/5-1 |