Exploring large-scale entanglement in quantum simulation.

Joshi, Manoj K; Kokail, Christian; van Bijnen, Rick; Kranzl, Florian; Zache, Torsten V; Blatt, Rainer; Roos, Christian F; Zoller, Peter · Nature · 2023

basic_science · Level V

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Abstract

Entanglement is a distinguishing feature of quantum many-body systems, and uncovering the entanglement structure for large particle numbers in quantum simulation experiments is a fundamental challenge in quantum information science<sup>1</sup>. Here we perform experimental investigations of entanglement on the basis of the entanglement Hamiltonian (EH)<sup>2</sup> as an effective description of the reduced density operator for large subsystems. We prepare ground and excited states of a one-dimensional XXZ Heisenberg chain on a 51-ion programmable quantum simulator<sup>3</sup> and perform sample-efficient 'learning' of the EH for subsystems of up to 20 lattice sites<sup>4</sup>. Our experiments provide compelling evidence for a local structure of the EH. To our knowledge, this observation marks the first instance of confirming the fundamental predictions of quantum field theory by Bisognano and Wichmann<sup>5,6</sup>, adapted to lattice models that represent correlated quantum matter. The reduced state takes the form of a Gibbs ensemble, with a spatially varying temperature profile as a signature of entanglement<sup>2</sup>. Our results also show the transition from area- to volume-law scaling<sup>7</sup> of von Neumann entanglement entropies from ground to excited states. As we venture towards achieving quantum advantage, we anticipate that our findings and methods have wide-ranging applicability to revealing and understanding entanglement in many-body problems with local interactions including higher spatial dimensions.