Abstract
Strongly correlated electron systems host a variety of poorly understood correlations in their high-temperature normal state. Unlike ordered phases defined by order parameters, regions of the normal state are often defined through unconventional properties such as strange metallic transport or spectroscopic pseudogaps. Characterizing the microscopic correlations in the normal state is necessary to elucidate mechanisms that lead to these properties and their connection to ground-state orders. Here we establish the presence of intertwined charge and spin stripes in the strange metal normal state of the Hubbard model using determinant quantum Monte Carlo calculations. The charge and spin density waves constituting the stripes are fluctuating and short ranged; yet they obey a mutual commensurability relation and remain microscopically interlocked, as evidenced through measurements of three-point spin-spin-hole correlation functions. Our findings demonstrate the ability of many-body numerical simulations to unravel the microscopic correlations that define quantum states of matter.
| Original language | English |
|---|---|
| Article number | 085126 |
| Journal | Physical Review B |
| Volume | 107 |
| Issue number | 8 |
| DOIs | |
| State | Published - Feb 15 2023 |
Funding
The work at Stanford and SLAC (T.L., W.O.W., H.-C.J., B.M., and T.P.D.) was supported by the U.S. Department of Energy (DOE), Office of Basic Energy Sciences, Materials Sciences and Engineering Division, under Contract No. DE-AC02-76SF00515. E.W.H. was supported by the Gordon and Betty Moore Foundation EPiQS Initiative through GBMF Grants No. 4305 and No. 8691. P.M. acknowledges support from Center for Emergent Superconductivity, a DOE Energy Frontier Research Center, Grant No. DE-AC0298CH1088. Work by S.J. and T.A.M. was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Award No. DE-SC0022311. Computational work was performed on the Sherlock cluster at Stanford University and on resources of the National Energy Research Scientific Computing Center, supported by the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.