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arXiv quant-ph/9810026quant-phphysics.data-an
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可分量子态的先验概率

A priori Probabilities of Separable Quantum States

Paul B. Slater

摘要:

Zyczkowski,Horodecki,Sanpera和Lewenstein(ZHSL)最近提出了N维量子系统的“自然测量”(quant-ph/9804024),但当它导致他们得出结论时表示惊讶,对于N = 2 x 2,解纠缠(可分离)系统在自然界中比纠缠系统更有可能(0.632)。然而,我们认为,ZHSL的(拒绝)的直觉,事实上,一个健全的理论基础,和先验的概率解开2 × 2系统应该更恰当地被视为(相当)小于0.5。我们以两种截然不同的方式得出这个结论,第一种是基于经典的考虑,第二种是基于量子的考虑。然而,这两种方法都用基于单调度量的体积元素的方法(全部或部分)取代ZHSL(乘积)度量,这在经典情况下相当于采用贝叶斯理论的Jeffreys先验。只有量子理论分析(产生最小的解纠缠概率)使用了可能的最小参数数N^2 - 1,而不是N^2 + N - 1(尽管这种“过度参数化”,正如伯德最近指出的,应该是可以避免的)。然而,尽管进行了大量的计算,我们仍然无法获得这些概率的精确估计,并且需要额外的(可能是超级计算机)分析(特别是对于高维量子系统,例如我们也在这里研究的2 x 3)。

英文摘要:

Zyczkowski, Horodecki, Sanpera, and Lewenstein (ZHSL) recently proposed a ``natural measure'' on the N-dimensional quantum systems (quant-ph/9804024), but expressed surprise when it led them to conclude that for N = 2 x 2, disentangled (separable) systems are more probable (0.632) in nature than entangled ones. We contend, however, that ZHSL's (rejected) intuition has, in fact, a sound theoretical basis, and that the a priori probability of disentangled 2 x 2 systems should more properly be viewed as (considerably) less than 0.5. We arrive at this conclusion in two quite distinct ways, the first based on classical and the second, quantum considerations. Both approaches, however, replace (in whole or part) the ZHSL (product) measure by ones based on the volume elements of monotone metrics, which in the classical case amounts to adopting the Jeffreys' prior of Bayesian theory. Only the quantum-theoretic analysis (which yields the smallest probabilities of disentanglement) uses the minimum number of parameters possible, N^2 - 1, as opposed to N^2 + N - 1 (although this "over-parameterization", as recently indicated by Byrd, should be avoidable). However, despite substantial computation, we are not able to obtain precise estimates of these probabilities, and the need for additional (possibly supercomputer) analyses is indicated (particularly so, for higher-dimensional quantum systems, such as the 2 x 3 we also study here).

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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