4.6 Article

Quantum Monte Carlo simulations of two-dimensional repulsive Fermi gases with population imbalance

期刊

PHYSICAL REVIEW A
卷 103, 期 6, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevA.103.063314

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资金

  1. University of Camerino
  2. Italian MIUR under PRIN2017 CEnTraL Project [20172H2SC4]
  3. CINECA under the ISCRA initiative
  4. DIM Sirteq (EML) [19002465]
  5. ANR (SpiFBox grant)

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In this study, the ground-state properties of two-component repulsive Fermi gases in two dimensions were investigated using fixed-node diffusion Monte Carlo simulations. The energy per particle, equation of state, and magnetic susceptibility were analyzed for different parameters, revealing the characteristics of polarons and the stability of the ferromagnetic phase. Further analysis is needed to understand the effects of the fixed-node constraint on the results.
The ground-state properties of two-component repulsive Fermi gases in two dimensions are investigated by means of fixed-node diffusion Monte Carlo simulations. The energy per particle is determined as a function of the intercomponent interaction strength and of the population imbalance. The regime of universality in terms of the s-wave scattering length is identified by comparing results for hard-disk and for soft-disk potentials. In the large imbalance regime, the equation of state turns out to be well described by a Landau-Pomeranchuk functional for two-dimensional polarons. To fully characterize this expansion, we determine the polarons' effective mass and their coupling parameter, complementing previous studies on their chemical potential. Furthermore, we extract the magnetic susceptibility from low-imbalance data, finding only small deviations from the mean-field prediction. While the mean-field theory predicts a direct transition from a paramagnetic to a fully ferromagnetic phase, our diffusion Monte Carlo results suggest that the partially ferromagnetic phase is stable in a narrow interval of the interaction parameter. This finding calls for further analyses on the effects due to the fixed-node constraint.

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