Exploring the Lieb lattice phase diagram using Rydberg atom quantum simulators

ORAL

Abstract

We explore the ground state phases and phase transitions of Rydberg atoms on the Lieb lattice with both homogeneous and inhomogeneous detuning. We study the system numerically via DMRG simulations on the NERSC Perlmutter supercomputer and experimentally via Aquila, the Rydberg atom quantum simulator from QuEra Computing. The homogeneous detuning phase diagram hosts a zoo of quantum phases and provides an interesting playground for exploring multicritical phenomena. With inhomogeneous detuning, we further find that the systems exhibits an analog of the liquid-vapor and electroweak phase transitions in a quantum setting. Both a crossover and a first-order transition are found separating two classical phases. Despite the classical nature of the phases involved, we show that the critical point at the end of the first-order transition line arises due to from quantum fluctuations and characterize the nature of the criticality. Our work highlights the rich equilibrium physics that can be probed in analog quantum simulators.

* This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231.

Presenters

  • Daan Camps

    Lawrence Berkeley National Laboratory

Authors

  • Daan Camps

    Lawrence Berkeley National Laboratory

  • Mark R Hirsbrunner

    University of Illinois at Urbana-Champaign

  • Milan Kornjaca

    QuEra Computing

  • Fangli Liu

    QuEra Computing

  • Katherine Klymko

    Lawrence Berkeley National Laboratory, NERSC, Lawrence Berkeley National Laboratory

  • Siva Darbha

    Lawrence Berkeley National Laboratory

  • Jan Balewski

    Lawrence Berkeley National Laboratory

  • Rhine Samajdar

    Princeton University

  • Shengtao Wang

    QuEra Computing Inc., QuEra Computing, QUERA

  • Pedro Lopes

    QuEra Computing