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Qubit-Qudit Separability/PPT-Probability Analyses and Lovas-Andai Formula Extensions to Induced Measures

Quantum Physics 2018-04-25 v2 Mathematical Physics math.MP Probability

Abstract

We begin by seeking the qubit-qutrit and rebit-retrit counterparts to the now well-established Hilbert-Schmidt separability probabilities for (the 15-dimensional convex set of) two-qubits of 833=233110.242424\frac{8}{33} = \frac{2^3}{3 \cdot 11} \approx 0.242424 and (the 9-dimensional) two-rebits of 2964=29260.453125\frac{29}{64} =\frac{29}{2^6} \approx 0.453125. Based in part on extensive numerical computations, we advance the possibilities of a qubit-qutrit value of 271000=(310)3=332353=0.027\frac{27}{1000} = (\frac{3}{10})^3 =\frac{3^3}{2^3 \cdot 5^3} = 0.027 and a rebit-retrit one of 8606561=22543380.131078\frac{860}{6561} =\frac{2^2 \cdot 5 \cdot 43}{3^8} \approx 0.131078. These four values for 2×m2 \times m systems (m=2,3m=2,3) suggest certain numerator/denominator sequences involving powers of mm, which we further investigate for m>3m>3. Additionally, we find that the Hilbert-Schmidt separability/PPT-probabilities for the two-rebit, rebit-retrit and two-retrit XX-states all equal 163π20.54038\frac{16}{3 \pi^2} \approx 0.54038, as well as more generally, that the probabilities based on induced measures are equal across these three sets of XX-states. Then, we extend the generalized two-qubit framework introduced by Lovas and Andai from Hilbert-Schmidt measures to induced ones. For instance, while the Lovas-Andai two-qubit function is 13ε2(4ε2)\frac{1}{3} \varepsilon^2 (4 -\varepsilon^2), yielding 833\frac{8}{33}, its k=1k=1 induced measure counterpart is 14ε2(3ε2)2\frac{1}{4} \varepsilon ^2 \left(3-\varepsilon ^2\right)^2, yielding 61143=6111130.426573\frac{61}{143} =\frac{61}{11 \cdot 13} \approx 0.426573, where ε\varepsilon is a singular-value ratio. We investigate, in these regards, the possibility of extending the previously-obtained "Lovas-Andai master formula".

Keywords

Cite

@article{arxiv.1803.10680,
  title  = {Qubit-Qudit Separability/PPT-Probability Analyses and Lovas-Andai Formula Extensions to Induced Measures},
  author = {Paul B. Slater},
  journal= {arXiv preprint arXiv:1803.10680},
  year   = {2018}
}

Comments

25 pages, 5 figures--several further analyses incorporated