# Device-independent point estimation from finite data and its application   to device-independent property estimation

**Authors:** Pei-Sheng Lin, Denis Rosset, Yanbao Zhang, Jean-Daniel Bancal, and, Yeong-Cherng Liang

arXiv: 1705.09245 · 2018-03-28

## TL;DR

This paper introduces practical, statistically sound methods for estimating quantum distributions in device-independent scenarios from finite data, enabling reliable property estimation like entanglement without prior Bell inequality knowledge.

## Contribution

It develops the first physical, unique, and computationally feasible point estimation techniques for quantum distributions in device-independent settings from finite data.

## Key findings

- Estimates are physical, unique, and computationally tractable.
- Methods enable trustworthy entanglement estimation from finite data.
- No prior Bell inequality knowledge needed for property estimation.

## Abstract

The device-independent approach to physics is one where conclusions are drawn directly from the observed correlations between measurement outcomes. In quantum information, this approach allows one to make strong statements about the properties of the underlying systems or devices solely via the observation of Bell-inequality-violating correlations. However, since one can only perform a {\em finite number} of experimental trials, statistical fluctuations necessarily accompany any estimation of these correlations. Consequently, an important gap remains between the many theoretical tools developed for the asymptotic scenario and the experimentally obtained raw data. In particular, a physical and concurrently practical way to estimate the underlying quantum distribution has so far remained elusive. Here, we show that the natural analogs of the maximum-likelihood estimation technique and the least-square-error estimation technique in the device-independent context result in point estimates of the true distribution that are physical, unique, computationally tractable and consistent. They thus serve as sound algorithmic tools allowing one to bridge the aforementioned gap. As an application, we demonstrate how such estimates of the underlying quantum distribution can be used to provide, in certain cases, trustworthy estimates of the amount of entanglement present in the measured system. In stark contrast to existing approaches to device-independent parameter estimations, our estimation does not require the prior knowledge of {\em any} Bell inequality tailored for the specific property and the specific distribution of interest.

## Full text

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## Figures

18 figures with captions in the complete paper: https://tomesphere.com/paper/1705.09245/full.md

## References

89 references — full list in the complete paper: https://tomesphere.com/paper/1705.09245/full.md

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Source: https://tomesphere.com/paper/1705.09245