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Identification of non-Fermi liquid fermionic self-energy from quantum Monte Carlo data
npj Quantum Materials ( IF 5.7 ) Pub Date : 2020-09-11 , DOI: 10.1038/s41535-020-00266-6
Xiao Yan Xu , Avraham Klein , Kai Sun , Andrey V. Chubukov , Zi Yang Meng

Quantum Monte Carlo (QMC) simulations of correlated electron systems provide unbiased information about system behavior at a quantum critical point (QCP) and can verify or disprove the existing theories of non-Fermi liquid (NFL) behavior at a QCP. However, simulations are carried out at a finite temperature, where quantum critical features are masked by finite-temperature effects. Here, we present a theoretical framework within which it is possible to separate thermal and quantum effects and extract the information about NFL physics at T = 0. We demonstrate our method for a specific example of 2D fermions near an Ising ferromagnetic QCP. We show that one can extract from QMC data the zero-temperature form of fermionic self-energy Σ(ω) even though the leading contribution to the self-energy comes from thermal effects. We find that the frequency dependence of Σ(ω) agrees well with the analytic form obtained within the Eliashberg theory of dynamical quantum criticality, and obeys ω2/3 scaling at low frequencies. Our results open up an avenue for QMC studies of quantum critical metals.



中文翻译:

从量子蒙特卡洛数据鉴定非费米液态铁离子自能

相关电子系统的量子蒙特卡洛(QMC)模拟提供了有关量子临界点(QCP)处系统行为的无偏信息,并且可以验证或证明QCP处非费米液体(NFL)行为的现有理论。但是,模拟是在有限的温度下进行的,其中量子临界特征被有限的温度效应所掩盖。在这里,我们提供了一个理论框架,可以在其中分离热效应和量子效应,并提取有关T = 0时NFL物理学的信息。我们为伊辛铁磁QCP附近的二维费米子的一个特定示例演示了我们的方法。我们表明,可以从QMC数据中提取铁电自能量Σ(ω),尽管自能量的主要贡献来自热效应。我们发现,Σ(ω)的频率依赖性与在Eliashberg动态量子临界理论中获得的解析形式非常吻合,并且在低频时服从ω2 /3缩放。我们的结果为量子临界金属的QMC研究开辟了道路。

更新日期:2020-09-11
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