Many-body Chern number from statistical correlations of randomized measurements

Autor: Maissam Barkeshli, Andreas Elben, Ze-Pei Cian, Mohammad Hafezi, Hossein Dehghani, Peter Zoller, Benoît Vermersch, Guanyu Zhu
Přispěvatelé: Laboratoire de physique et modélisation des milieux condensés (LPM2C ), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)
Rok vydání: 2021
Předmět:
Zdroj: Physical Review Letters
Phys.Rev.Lett.
Phys.Rev.Lett., 2021, 126 (5), pp.050501. ⟨10.1103/PhysRevLett.126.050501⟩
ISSN: 1079-7114
DOI: 10.1103/physrevlett.126.050501
Popis: One of the main topological invariants that characterizes several topologically-ordered phases is the many-body Chern number (MBCN). Paradigmatic examples include several fractional quantum Hall phases, which are expected to be realized in different atomic and photonic quantum platforms in the near future. Experimental measurement and numerical computation of this invariant is conventionally based on the linear-response techniques which require having access to a family of states, as a function of an external parameter, which is not suitable for many quantum simulators. Here, we propose an ancilla-free experimental scheme for the measurement of this invariant, without requiring any knowledge of the Hamiltonian. Specifically, we use the statistical correlations of randomized measurements to infer the MBCN of a wavefunction. Remarkably, our results apply to disk-like geometries that are more amenable to current quantum simulator architectures.
8 pages, 4 figures
Databáze: OpenAIRE