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arXiv 1401.4243quant-ph
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量子随机性提取,用于各种级别的器件表征

Quantum randomness extraction for various levels of characterization of the devices

Yun Zhi Law, Le Phuc Thinh, Jean-Daniel Bancal, Valerio Scarani

摘要:

可以从量子系统的测量中提取的内在随机性的大小取决于几个因素:特别是,给予对手的力量和授权合作伙伴的设备的特征化水平。在对这些概念进行了系统的介绍之后,在本文中,我们在最小对抗能力的类别中工作,这与评估由可信的实验人员操作的设置有关,并比较了设备的三个级别的特征。最近的许多研究都集中在所谓的“设备无关”的水平,其中的内在随机性的量的下限可以证明没有任何表征。另一个极端是当所有设备都被充分表征时的情况:这种“断层扫描”水平已经知道很长时间了。在这种情况下,我们提出了一个系统的和有效的方法来量化的内在随机性的量,并表明,设置涉及辅助(POVMs,指针测量)可能不是有趣的,在这里,只要一个可以提取随机性的辅助,而不是从系统的研究。最后,我们研究有多少随机性可以获得在存在的一个中间水平的表征有关的任务“转向”,其中鲍勃的设备是完全特征化,而爱丽丝的是一个黑盒子。我们得到我们的结果在这里通过调整NPA层次的半定方案的指导方案。

英文摘要:

The amount of intrinsic randomness that can be extracted from measurement on quantum systems depends on several factors: notably, the power given to the adversary and the level of characterization of the devices of the authorized partners. After presenting a systematic introduction to these notions, in this paper we work in the class of least adversarial power, which is relevant for assessing setups operated by trusted experimentalists, and compare three levels of characterization of the devices. Many recent studies have focused on the so-called "device-independent" level, in which a lower bound on the amount of intrinsic randomness can be certified without any characterization. The other extreme is the case when all the devices are fully characterized: this "tomographic" level has been known for a long time. We present for this case a systematic and efficient approach to quantifying the amount of intrinsic randomness, and show that setups involving ancillas (POVMs, pointer measurements) may not be interesting here, insofar as one may extract randomness from the ancilla rather than from the system under study. Finally, we study how much randomness can be obtained in presence of an intermediate level of characterization related to the task of "steering", in which Bob's device is fully characterized while Alice's is a black box. We obtain our results here by adapting the NPA hierarchy of semidefinite programs to the steering scenario.

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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