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恶魔式工作兴奋:广义测量与多方设置

Daemonic Ergotropy: Generalised Measurements and Multipartite Settings.

作者信息

Bernards Fabian, Kleinmann Matthias, Gühne Otfried, Paternostro Mauro

机构信息

Naturwissenschaftlich-Technische Fakultät, Universität Siegen, Walter-Flex-Straße 3, 57068 Siegen, Germany.

School of Mathematics and Physics, Queen's University, Belfast BT7 1NN, UK.

出版信息

Entropy (Basel). 2019 Aug 7;21(8):771. doi: 10.3390/e21080771.

DOI:10.3390/e21080771
PMID:33267484
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7515299/
Abstract

Recently, the concept of daemonic ergotropy has been introduced to quantify the maximum energy that can be obtained from a quantum system through an ancilla-assisted work extraction protocol based on information gain via projective measurements [G. Francica et al., npj Quant. Inf. , 12 (2018)]. We prove that quantum correlations are not advantageous over classical correlations if projective measurements are considered. We go beyond the limitations of the original definition to include generalised measurements and provide an example in which this allows for a higher daemonic ergotropy. Moreover, we propose a see-saw algorithm to find a measurement that attains the maximum work extraction. Finally, we provide a multipartite generalisation of daemonic ergotropy that pinpoints the influence of multipartite quantum correlations, and study it for multipartite entangled and classical states.

摘要

最近,“恶魔能熵”的概念被引入,用于量化通过基于投影测量的信息增益的辅助工作提取协议,从量子系统中可获得的最大能量[G. 弗兰西卡等人,《npj量子信息》,12 (2018)]。我们证明,如果考虑投影测量,量子关联并不比经典关联更具优势。我们超越了原始定义的局限性,将广义测量纳入其中,并给出一个例子,说明这允许更高的恶魔能熵。此外,我们提出了一种跷跷板算法,以找到实现最大功提取的测量。最后,我们给出了恶魔能熵的多体推广,以确定多体量子关联的影响,并对多体纠缠态和经典态进行研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e34/7515299/b45cee158f66/entropy-21-00771-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e34/7515299/6f6c9890a265/entropy-21-00771-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e34/7515299/b45cee158f66/entropy-21-00771-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e34/7515299/6f6c9890a265/entropy-21-00771-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e34/7515299/b45cee158f66/entropy-21-00771-g002.jpg

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