Vertex-Based Diagrammatic Treatment of Light-Matter-Coupled Systems.


Journal

Physical review letters
ISSN: 1079-7114
Titre abrégé: Phys Rev Lett
Pays: United States
ID NLM: 0401141

Informations de publication

Date de publication:
20 Jan 2023
Historique:
received: 04 01 2022
accepted: 05 12 2022
entrez: 10 2 2023
pubmed: 11 2 2023
medline: 11 2 2023
Statut: ppublish

Résumé

We propose a diagrammatic Monte Carlo approach for quantum impurity models, which can be regarded as a generalization of the strong-coupling expansion for fermionic impurity models. The algorithm is based on a self-consistently computed three-point vertex and a stochastically sampled four-point vertex, and it allows one to obtain numerically exact results in a wide parameter regime. The performance of the algorithm is demonstrated with applications to a spin-boson model representing an emitter in a waveguide. As a function of the coupling strength, the spin exhibits a delocalization-localization crossover at low temperatures, signaling a qualitative change in the real-time relaxation. In certain parameter regimes, the response functions of the emitter coupled to the electromagnetic continuum can be described by an effective Rabi model with appropriately defined parameters. We also discuss the spatial distribution of the photon density around the emitter.

Identifiants

pubmed: 36763380
doi: 10.1103/PhysRevLett.130.036901
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

036901

Auteurs

Aaram J Kim (AJ)

Department of Physics, University of Fribourg, 1700 Fribourg Switzerland.

Katharina Lenk (K)

Department of Physics, University of Erlangen-Nürnberg, 91058 Erlangen, Germany.

Jiajun Li (J)

Department of Physics, University of Fribourg, 1700 Fribourg Switzerland.
Paul Scherrer Institute, Condensed Matter Theory, 5352 PSI Villigen, Switzerland.

Philipp Werner (P)

Department of Physics, University of Fribourg, 1700 Fribourg Switzerland.

Martin Eckstein (M)

Department of Physics, University of Erlangen-Nürnberg, 91058 Erlangen, Germany.

Classifications MeSH