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arXiv 2401.08065quant-ph

多体纠缠量化的局部测量策略

Local measurement strategies for multipartite entanglement quantification

Luke Coffman, Akshay Seshadri, Graeme Smith, Jacob L. Beckey

AI总结:

本文研究仅用局部测量量化多体纠缠的资源最小化问题,提出基于局部随机化测量和投影2-设计的估计器构造准则,并展示局部对称信息完备POVM可在单一测量设置下实现量化,同时给出测量次数的解析上界。

摘要:

尽管多体纠缠是量子态的一种全局性质,但近期多项工作已表明,仅使用局部测量即可对其进行量化。这一点具有吸引力,因为局部测量在当前量子硬件上最容易实现。然而,为了仅凭局部测量来估计多体纠缠,应使用何种协议以最小化所需资源,仍是一个悬而未决的问题。在本工作中,我们构建并比较了若干仅基于局部测量数据的多体纠缠估计器。我们首先利用局部随机化测量(LRM)数据,为一族广泛的纠缠度量构造统计估计器,然后从投影2-设计的角度给出构造此类估计器的一般准则。重要的是,这使我们能够对基于LRM的多体估计协议进行去随机化。特别地,我们展示了局部对称信息完备POVM如何仅需单一测量设置即可实现多体纠缠量化。对于所有估计器,我们均给出了经典后处理成本以及严格的性能保证,其形式为达到任意所需精度估计这些度量所需测量次数的解析上界。

英文摘要:

Despite multipartite entanglement being a global property of a quantum state, a number of recent works have made it clear that it can be quantified using only local measurements. This is appealing because local measurements are the easiest to implement on current quantum hardware. However, it remains an open question what protocol one should use in order to minimize the resources required to estimate multipartite entanglement from local measurements alone. In this work, we construct and compare several estimators of multipartite entanglement based solely on the data from local measurements. We first construct statistical estimators for a broad family of entanglement measures using local randomized measurement (LRM) data before providing a general criterion for the construction of such estimators in terms of projective 2-designs. Importantly, this allows us to de-randomize the multipartite estimation protocol based on LRMs. In particular, we show how local symmetric informationally complete POVMs enable multipartite entanglement quantification with only a single measurement setting. For all estimators, we provide both the classical post-processing cost and rigorous performance guarantees in the form of analytical upper bounds on the number of measurements needed to estimate the measures to any desired precision.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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