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Efficient multimode Wigner tomography.
He, Kevin; Yuan, Ming; Wong, Yat; Chakram, Srivatsan; Seif, Alireza; Jiang, Liang; Schuster, David I.
Afiliação
  • He K; James Franck Institute, University of Chicago, Chicago, IL, 60637, USA. hek@uchicago.edu.
  • Yuan M; Department of Physics, University of Chicago, Chicago, IL, 60637, USA. hek@uchicago.edu.
  • Wong Y; Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, 60637, USA.
  • Chakram S; Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, 60637, USA.
  • Seif A; Department of Physics and Astronomy, Rutgers University, Piscataway, NJ, 08854, USA.
  • Jiang L; Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, 60637, USA.
  • Schuster DI; Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, 60637, USA.
Nat Commun ; 15(1): 4138, 2024 May 16.
Article em En | MEDLINE | ID: mdl-38755182
ABSTRACT
Advancements in quantum system lifetimes and control have enabled the creation of increasingly complex quantum states, such as those on multiple bosonic cavity modes. When characterizing these states, traditional tomography scales exponentially with the number of modes in both computational and experimental measurement requirement, which becomes prohibitive as the system size increases. Here, we implement a state reconstruction method whose sampling requirement instead scales polynomially with system size, and thus mode number, for states that can be represented within such a polynomial subspace. We demonstrate this improved scaling with Wigner tomography of multimode entangled W states of up to 4 modes on a 3D circuit quantum electrodynamics (cQED) system. This approach performs similarly in efficiency to existing matrix inversion methods for 2 modes, and demonstrates a noticeable improvement for 3 and 4 modes, with even greater theoretical gains at higher mode numbers.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article