arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0710.3549quant-phmath-phmath.MP
收藏

全维偶Dyson指数情形下的两量子比特Hilbert-Schmidt可分性函数和概率

Two-Qubit Hilbert-Schmidt Separability Functions and Probabilities for Full-Dimensional Even-Dyson-Index Scenarios

Paul B. Slater

摘要:

我们扩展了我们最近的两项研究(Phys. Rev. A,75,032326 [2007]和arXiv:0704.3723)的发现和分析,首先,获得基于(欧几里得,平坦)希尔伯特-施密特(HS)度量的27维四元数双量子比特系统凸集的可分性函数的数值估计。估计的函数似乎与我们以前制定的戴森指数非常一致(β = 1,2,4)的解析式,规定了四元数(β =4)可分性函数应该与两量子比特复(β =2)系统的15维凸集的可分性函数的平方精确成比例,以及两量子比特实(β =1)系统的9维凸集的可分性函数的四次幂。特别地,我们得出S_{quat}(mu)=(6/71)^2((3-mu^2)mu)^4 =(S_{complex}(mu))^2。这里,μ =(rho_{11} rho_{44} /(rho_{22} rho_{33})^(1/2),其中ρ是4 × 4双量子位密度矩阵。因此,我们可以补充(和加强)我们之前的断言,即双量子比特复合态的HS可分性概率是8/33= 0.242424,通过声称其四元数对应物是72442944/936239725 = 0.0773765。我们还评论和分析了奇数β =1和3的情况。

英文摘要:

We extend the findings and analyses of our two recent studies (Phys. Rev. A, 75, 032326 [2007] and arXiv:0704.3723) by, first, obtaining numerical estimates of the separability function based on the (Euclidean, flat) Hilbert-Schmidt (HS) metric for the 27-dimensional convex set of quaternionic two-qubit systems. The estimated function appears to be strongly consistent with our previously-formulated Dyson-index (beta = 1, 2, 4) ansatz, dictating that the quaternionic (beta=4) separability function should be exactly proportional to the square of the separability function for the 15-dimensional convex set of two-qubit complex (beta=2) systems, as well as the fourth power of the separability function for the 9-dimensional convex set of two-qubit real (beta=1) systems. In particular, we conclude that S_{quat}(mu) =(6/71)^2 ((3-mu^2) mu)^4 =(S_{complex}(mu))^2. Here, mu =(rho_{11} rho_{44}/(rho_{22} rho_{33})^(1/2), where rho is a 4 x 4 two-qubit density matrix. We can, thus, supplement (and fortify) our previous assertion that the HS separability probability of the two-qubit complex states is 8/33= 0.242424, by claiming that its quaternionic counterpart is 72442944/936239725 = 0.0773765. We also comment on and analyze the odd beta=1 and 3 cases.

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。

↑