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Identification of non-Fermi liquid fermionic self-energy from quantum Monte Carlo data

Physics

Identification of non-Fermi liquid fermionic self-energy from quantum Monte Carlo data

X. Y. Xu, A. Klein, et al.

Dive into groundbreaking Quantum Monte Carlo simulations that reveal the mysteries of quantum critical points and non-Fermi liquid behaviors, conducted by Xiao Yan Xu, Avraham Klein, Kai Sun, Andrey V. Chubukov, and Zi Yang Meng.

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~3 min • Beginner • English
Abstract
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.
Publisher
npj Quantum Materials
Published On
Sep 11, 2020
Authors
Xiao Yan Xu, Avraham Klein, Kai Sun, Andrey V. Chubukov, Zi Yang Meng
Tags
Quantum Monte Carlo
quantum critical points
non-Fermi liquid
fermionic self-energy
Eliashberg theory
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