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arXiv quant-ph/0410238quant-ph
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Qubit-Qutrit可分性概率比

Qubit-Qutrit Separability-Probability Ratios

Paul B. Slater

摘要:

克服我们最近的计算密集型(准蒙特卡罗)工作的情况下,N=4(quant-ph/0308037),我们承担了N=6的高数值精度计算任务,Sommers和Zyczkowski的公式(quant-ph/0304041)的(N^2-1)维体积和(N^2-2)维超面积,(可分和不可分)N x N密度矩阵,基于Bures(最小单调)度量-以及(非单调)希尔伯特-施密特度量的类似公式(quant-ph/0302197)。使用相同的70亿个分布良好(“低差异”)的样本点,我们基于五个额外的(单调)感兴趣的度量(包括Kubo-Mori和Wigner-Yanase)来估计未知体积和超面积。此外,我们估计所有这七个体积和七个超面积(未知)的数量时,限制可分离的密度矩阵。可分离体积(超区域)与可分离体积加不可分离体积(超区域)的比值产生一般秩六(秩五)密度矩阵的可分离概率的估计。基于35维体积获得的(秩6)可分性概率似乎是--独立于所采用的度量(7个诱导Haar度量中的每一个)--是基于34维超面积的(秩5)可分性概率的两倍。接受这样的关系,我们适合确切的公式估计的Bures和希尔伯特-施密特可分离的体积和超面积。(An秩6的希尔伯特-施密特可分性概率与秩4的希尔伯特-施密特可分性概率之比的额外估计-- 33.9982 --也非常明显地接近于积分。对于N=4的希尔伯特-施密特度规,加倍关系似乎也成立,但其他情况则不成立。我们适合的希尔伯特-施密特可分离体积和超面积的精确公式。

英文摘要:

Paralleling our recent computationally-intensive (quasi-Monte Carlo) work for the case N=4 (quant-ph/0308037), we undertake the task for N=6 of computing to high numerical accuracy, the formulas of Sommers and Zyczkowski (quant-ph/0304041) for the (N^2-1)-dimensional volume and (N^2-2)-dimensional hyperarea of the (separable and nonseparable) N x N density matrices, based on the Bures (minimal monotone) metric -- and also their analogous formulas (quant-ph/0302197) for the (non-monotone) Hilbert-Schmidt metric. With the same seven billion well-distributed (``low-discrepancy'') sample points, we estimate the unknown volumes and hyperareas based on five additional (monotone) metrics of interest, including the Kubo-Mori and Wigner-Yanase. Further, we estimate all of these seven volume and seven hyperarea (unknown) quantities when restricted to the separable density matrices. The ratios of separable volumes (hyperareas) to separable plus nonseparable volumes (hyperareas) yield estimates of the separability probabilities of generically rank-six (rank-five) density matrices. The (rank-six) separability probabilities obtained based on the 35-dimensional volumes appear to be -- independently of the metric (each of the seven inducing Haar measure) employed -- twice as large as those (rank-five ones) based on the 34-dimensional hyperareas. Accepting such a relationship, we fit exact formulas to the estimates of the Bures and Hilbert-Schmidt separable volumes and hyperareas.(An additional estimate -- 33.9982 -- of the ratio of the rank-6 Hilbert-Schmidt separability probability to the rank-4 one is quite clearly close to integral too.) The doubling relationship also appears to hold for the N=4 case for the Hilbert-Schmidt metric, but not the others. We fit exact formulas for the Hilbert-Schmidt separable volumes and hyperareas.

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