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Robust Bilayer Charge Pumping for Spin- and Density-Resolved Quantum Gas Microscopy.
Koepsell, Joannis; Hirthe, Sarah; Bourgund, Dominik; Sompet, Pimonpan; Vijayan, Jayadev; Salomon, Guillaume; Gross, Christian; Bloch, Immanuel.
Afiliação
  • Koepsell J; Max-Planck-Institut für Quantenoptik, 85748 Garching, Germany.
  • Hirthe S; Munich Center for Quantum Science and Technology (MCQST), 80799 München, Germany.
  • Bourgund D; Max-Planck-Institut für Quantenoptik, 85748 Garching, Germany.
  • Sompet P; Munich Center for Quantum Science and Technology (MCQST), 80799 München, Germany.
  • Vijayan J; Max-Planck-Institut für Quantenoptik, 85748 Garching, Germany.
  • Salomon G; Munich Center for Quantum Science and Technology (MCQST), 80799 München, Germany.
  • Gross C; Max-Planck-Institut für Quantenoptik, 85748 Garching, Germany.
  • Bloch I; Munich Center for Quantum Science and Technology (MCQST), 80799 München, Germany.
Phys Rev Lett ; 125(1): 010403, 2020 Jul 03.
Article em En | MEDLINE | ID: mdl-32678648
ABSTRACT
Quantum gas microscopy has emerged as a powerful new way to probe quantum many-body systems at the microscopic level. However, layered or efficient spin-resolved readout methods have remained scarce as they impose strong demands on the specific atomic species and constrain the simulated lattice geometry and size. Here we present a novel high-fidelity bilayer readout, which can be used for full spin- and density-resolved quantum gas microscopy of two-dimensional systems with arbitrary geometry. Our technique makes use of an initial Stern-Gerlach splitting into adjacent layers of a highly stable vertical superlattice and subsequent charge pumping to separate the layers by 21 µm. This separation enables independent high-resolution images of each layer. We benchmark our method by spin- and density-resolving two-dimensional Fermi-Hubbard systems. Our technique furthermore enables the access to advanced entropy engineering schemes, spectroscopic methods, or the realization of tunable bilayer systems.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article