We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackling hard fermionic quantum many-body problems in the thermodynamic limit by presenting accurate results for the repulsive Hubbard model in the correlated Fermi liquid regime. Sampling Feynman\u27s diagrammatic series for the single-particle self-energy, we can study moderate values of the on-site repulsion (U/t~4) and temperatures down to T/t=1/40. We compare our results with high-temperature series expansions and with single-site and cluster dynamical mean-field theory
Diagrammatic Monte Carlo (DiagMC) is a numeric technique that allows one to calculate quantities spe...
We introduce a new class of quantum Monte Carlo methods, based on a Gaussian quantum operator repres...
This thesis is devoted to the development of numerical methods for correlated electrons in realistic...
We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackli...
We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackli...
We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackli...
International audiencePrecise understanding of strongly interacting fermions, from electrons in mode...
International audiencePrecise understanding of strongly interacting fermions, from electrons in mode...
International audiencePrecise understanding of strongly interacting fermions, from electrons in mode...
International audiencePrecise understanding of strongly interacting fermions, from electrons in mode...
International audiencePrecise understanding of strongly interacting fermions, from electrons in mode...
Precise understanding of strongly interacting fermions, from electrons in modern materials to nuclea...
Precise understanding of strongly interacting fermions, from electrons in modern materials to nuclea...
Diagrammatic Monte Carlo (DiagMC) is a numeric technique that allows one to calculate quantities spe...
Diagrammatic Monte Carlo (DiagMC) is a numeric technique that allows one to calculate quantities spe...
Diagrammatic Monte Carlo (DiagMC) is a numeric technique that allows one to calculate quantities spe...
We introduce a new class of quantum Monte Carlo methods, based on a Gaussian quantum operator repres...
This thesis is devoted to the development of numerical methods for correlated electrons in realistic...
We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackli...
We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackli...
We show that Monte Carlo sampling of the Feynman diagrammatic series (DiagMC) can be used for tackli...
International audiencePrecise understanding of strongly interacting fermions, from electrons in mode...
International audiencePrecise understanding of strongly interacting fermions, from electrons in mode...
International audiencePrecise understanding of strongly interacting fermions, from electrons in mode...
International audiencePrecise understanding of strongly interacting fermions, from electrons in mode...
International audiencePrecise understanding of strongly interacting fermions, from electrons in mode...
Precise understanding of strongly interacting fermions, from electrons in modern materials to nuclea...
Precise understanding of strongly interacting fermions, from electrons in modern materials to nuclea...
Diagrammatic Monte Carlo (DiagMC) is a numeric technique that allows one to calculate quantities spe...
Diagrammatic Monte Carlo (DiagMC) is a numeric technique that allows one to calculate quantities spe...
Diagrammatic Monte Carlo (DiagMC) is a numeric technique that allows one to calculate quantities spe...
We introduce a new class of quantum Monte Carlo methods, based on a Gaussian quantum operator repres...
This thesis is devoted to the development of numerical methods for correlated electrons in realistic...