# Optimization of device-independent witnesses of entanglement depth from   two-body correlators

**Authors:** Jordi Tura, Albert Aloy, Flavio Baccari, Antonio Ac\'in, Maciej, Lewenstein, Remigiusz Augusiak

arXiv: 1903.09533 · 2019-09-10

## TL;DR

This paper improves the computation of device-independent witnesses of entanglement depth using two-body correlators, enabling analysis of larger quantum systems and approaching the thermodynamic limit.

## Contribution

It provides detailed methods and case studies for calculating $k$-producible bounds of entanglement witnesses under various assumptions, extending previous work to larger systems.

## Key findings

- Efficient computation of $k$-producible bounds for small systems.
- Identification of features that persist in larger systems.
- Approach towards the thermodynamic limit in entanglement analysis.

## Abstract

In a recent work [A. Aloy et al. arXiv:1807:06027 (2018)] we have considered the characterization of entanglement depth, from a device-independent perspective, in a quantum many-body system. We have shown that the inequalities introduced in [J. Tura et al. Science 344 1256 (2014)] can be used to obtain device-independent witnesses of entanglement depth and that they enjoy two key properties that allow to compute their $k$-producibility bounds more efficiently for larger system sizes, as well as yielding experimentally-friendlier device-independent witnesses of entanglement depth: they involve at most two-body correlators and they are permutationally invariant. While the main aim of our previous work was to illustrate the main ideas and applicability of the method, here we outline the details and complement its findings with detailed analysis and further case studies. Specifically, we consider the problem of finding the $k$-producible bounds of such DIWEDs under different assumptions. Not surprisingly, with the weakest assumptions, we can compute $k$-producible bounds only for relatively small number of parties; however we can still learn interesting features from these solutions that motivate the search on larger systems under the assumption that these features persist. This allows us to tackle the case where the system size eventually reaches the thermodynamic limit.

## Full text

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## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/1903.09533/full.md

## References

94 references — full list in the complete paper: https://tomesphere.com/paper/1903.09533/full.md

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Source: https://tomesphere.com/paper/1903.09533