Abstract

Quantum entanglement is commonly assumed to be a central resource for quantum computing and quantum simulation. Nonetheless, the capability to detect it in many-body systems is severely limited by the absence of sufficiently scalable and flexible certification tools. This issue is particularly critical in situations where the structure of entanglement is a priori unknown, and where one cannot rely on existing entanglement witnesses. Here, we implement a scheme in which the knowledge of the mean value of arbitrary observables can be used to probe multipartite entanglement in a scalable, certified, and systematic manner. Specifically, we rely on positive semidefinite conditions, independent of partial-transposition-based criteria, necessarily obeyed if the data can be reproduced by a separable state. The violation of any of these conditions yields a specific entanglement witness, tailored to the data of interest, revealing the salient features of the data which are impossible to reproduce without entanglement. We validate this approach by probing theoretical many-body states of several hundreds of qubits relevant to existing experiments: a single-particle quench in a one-dimensional XX chain; a many-body quench in a two-dimensional XX model with 1/r3 interactions; and thermal equilibrium states of Heisenberg and transverse-field Ising chains. In all cases, these investigations have led us to discover new entanglement witnesses, some of which could be characterized analytically, generalizing existing results in the literature. In summary, our paper introduces a flexible data-driven entanglement detection technique for uncharacterized quantum many-body states, of immediate relevance to experiments in a quantum advantage regime.Received 11 August 2021Revised 2 December 2021Accepted 22 February 2022DOI:https://doi.org/10.1103/PRXQuantum.3.010342Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.Published by the American Physical SocietyPhysics Subject Headings (PhySH)Research AreasEntanglement detectionQuantum entanglementPhysical SystemsQuantum spin modelsTechniquesData analysisSemiclassical methodsQuantum InformationAtomic, Molecular & OpticalStatistical Physics

Highlights

  • Quantum entanglement is a distinguished feature of composite quantum systems, marking a fundamental departure from their classical counterparts [1]

  • It is commonly assumed that the intractability of classical simulations originates in the large-scale quantum entanglement, which develops across the experimental system [2]

  • Under the assumption that the state is separable, positive semidefinite constraints must be obeyed by the correlation matrix

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Summary

INTRODUCTION

Quantum entanglement is a distinguished feature of composite quantum systems, marking a fundamental departure from their classical counterparts [1]. We introduced a systematic approach to multipartite entanglement detection in many-body systems from the knowledge of the average values of arbitrary observables, whose polynomial cost at every level is guaranteed with no assumptions about the structure of the data. By benchmarking it on realistic manybody data, we are able to show that this approach has a wide range of applicability, and is able to recover and generalize several entanglement witnesses tailored to many-body systems of immediate experimental relevance.

FRAMEWORK
SIMPLE TWO-QUBIT EXAMPLE
ROBUST DETECTION OF ENTANGLEMENT IN MANY-BODY SYSTEMS
Single-spin-flip in a one-dimensional chain
Many-body quench dynamics in a two-dimensional power-law XX model
Bipartite witnesses
CONCLUSION
Symmetrizing the unknown p distribution
Robust entanglement witness from one- and two-body correlations on N qubits
General formulation of the hierarchy
Recovering the covariance matrix criterion
C1 C2 C3
Recovering the generalized spin-squeezing inequalities
Full Text
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