机构:
CEA, CNRS, IPhT, URA 2306, F-91191 Gif Sur Yvette, France
Univ Paris 06, UMR CNRS 7600, LPTMC, F-75252 Paris, FranceUniv Grenoble Alpes, INAC SPSMS, F-38000 Grenoble, France
Messio, Laura
[3
,4
]
Parcollet, Olivier
论文数: 0引用数: 0
h-index: 0
机构:
CEA, CNRS, IPhT, URA 2306, F-91191 Gif Sur Yvette, FranceUniv Grenoble Alpes, INAC SPSMS, F-38000 Grenoble, France
Parcollet, Olivier
[3
]
论文数: 引用数:
h-index:
机构:
Waintal, Xavier
[1
,2
]
机构:
[1] Univ Grenoble Alpes, INAC SPSMS, F-38000 Grenoble, France
[2] CEA, INAC SPSMS, F-38000 Grenoble, France
[3] CEA, CNRS, IPhT, URA 2306, F-91191 Gif Sur Yvette, France
[4] Univ Paris 06, UMR CNRS 7600, LPTMC, F-75252 Paris, France
We present a simple, general purpose, quantum Monte Carlo algorithm for out-of-equilibrium interacting nanoelectronic systems. It allows one to systematically compute the expansion of any physical observable (such as current or density) in powers of the electron-electron interaction coupling constant U. It is based on the out-of-equilibrium Keldysh Green's function formalism in real-time and corresponds to evaluating all the Feynman diagrams to a given order U-n (up to n = 15 in the present work). A key idea is to explicitly sum over the Keldysh indices in order to enforce the unitarity of the time evolution. The coefficients of the expansion can easily be obtained for long-time, stationary regimes, even at zero temperature. We then illustrate our approach with an application to the Anderson model, an archetype interacting mesoscopic system. We recover various results of the literature such as the spin susceptibility or the "Kondo ridge" in the current-voltage characteristics. In this case, we found the Monte Carlo free of the sign problem even at zero temperature, in the stationary regime and in absence of a particle-hole symmetry. The main limitation of the method is the lack of convergence of the expansion in U for large U, i.e., a mathematical property of the model rather than a limitation of the Monte Carlo algorithm. Standard extrapolation methods of divergent series can be used to evaluate the series in the strong correlation regime.