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  • Letter

Phase diagram detection via Gaussian fitting of number probability distribution

Daniele Contessi1,2,3,*, Alessio Recati1,†, and Matteo Rizzi2,3,‡

  • 1Dipartimento di Fisica, Università di Trento and INO-CNR BEC Center, 38123 Povo, Italy
  • 2Forschungszentrum Jülich GmbH, Institute of Quantum Control, Peter Grünberg Institut (PGI-8), 52425 Jülich, Germany
  • 3Institute for Theoretical Physics, University of Cologne, D-50937 Köln, Germany

  • *daniele.contessi@unitn.it
  • †alessio.recati@unitn.it
  • ‡m.rizzi@fz-juelich.de

Phys. Rev. B 107, L121403 – Published 10 March, 2023

DOI: https://doi.org/10.1103/PhysRevB.107.L121403

Abstract

We investigate the number probability density function that characterizes subportions of a quantum many-body system with globally conserved number of particles. We put forward a linear fitting protocol capable of mapping out the ground-state phase diagram of the rich one-dimensional extended Bose-Hubbard model: The results are quantitatively comparable with more sophisticated traditional and machine learning techniques. We argue that the studied quantity should be considered among the most informative bipartite properties, being moreover readily accessible in atomic gases experiments.

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