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arXiv quant-ph/0608022quant-ph
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基于泊松分布框架的纠缠态检验的统计分析

Statistical analysis on testing of an entangled state based on Poisson distribution framework

Masahito Hayashi, Akihisa Tomita, Keiji Matsumoto

摘要:

基于泊松分布框架而不是POVM框架,提出了一种纠缠的假设检验方案。在此框架下,提出了三种设计方案来测试纠缠态。根据渐近方差对设计进行了评价。它已被证明,符合和反符合测量基地之间的最佳时间分配改进了传统的测试方法。可以通过优化反符合碱基之间的时间分配来进一步改进测试。

英文摘要:

A hypothesis testing scheme for entanglement has been formulated based on the Poisson distribution framework instead of the POVM framework. Three designs were proposed to test the entangled states in this framework. The designs were evaluated in terms of the asymptotic variance. It has been shown that the optimal time allocation between the coincidence and anti-coincidence measurement bases improves the conventional testing method. The test can be further improved by optimizing the time allocation between the anti-coincidence bases.

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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