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arXiv quant-ph/0405008quant-ph
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可分性问题的鲁棒半定规划方法

A Robust Semidefinite Programming Approach to the Separability Problem

Fernando. G. S. L. Brandao, Reinaldo O. Vianna

摘要:

我们表示的优化纠缠证人任意二分态的一类凸优化问题称为鲁棒半定规划(RSDP)。利用RSDP的性质,我们提出了几个新的混合态可分性的充分检验。我们的结果,然后推广到多部密度算子。

英文摘要:

We express the optimization of entanglement witnesses for arbitrary bipartite states in terms of a class of convex optimization problems known as Robust Semidefinite Programs (RSDP). We propose, using well known properties of RSDP, several new sufficient tests for the separability of mixed states. Our results are then generalized to multipartite density operators.

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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