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热力学极限下二维哈伯德模型中相互缠绕的自旋、电荷和配对关联

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

作者信息

Mai Peizhi, Karakuzu Seher, Balduzzi Giovanni, Johnston Steven, Maier Thomas A

机构信息

Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831-6211.

Institute for Theoretical Physics, ETH Zurich, 8093 Zurich, Switzerland.

出版信息

Proc Natl Acad Sci U S A. 2022 Feb 15;119(7). doi: 10.1073/pnas.2112806119.

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 an 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.

摘要

高温超导铜酸盐受相互交织的自旋、电荷和超导序支配。尽管各种先进的数值方法已表明这些相在掺杂的哈伯德模型中也会表现出来,但它们在哪个是实际基态的问题上存在分歧。有限簇方法通常表明条纹序占主导,而通过用动态平均场处理长程关联来达到热力学极限的嵌入量子簇方法则得出超导序占主导的结论。在此,我们报告使用量子蒙特卡罗动态簇近似(DCA)方法在掺杂的单带哈伯德模型中观察到波动的自旋和电荷条纹。通过使用DCA解析波动的自旋和电荷序,我们证明它们在热力学极限下在掺杂的哈伯德模型中依然存在。这一发现还提供了一个机会,可在统一的数值框架内研究波动条纹关联对模型配对关联的影响。使用这种方法,我们还发现了对密度波关联的证据,其强度与条纹的强度相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d751/8851552/eacd0804e22e/pnas.2112806119fig01.jpg

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