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

TL;DR
This paper estimates Hilbert-Schmidt separability functions for quaternionic two-qubit systems, confirming a Dyson-index-based relationship with complex and real cases, and computes their separability probabilities.
Contribution
It provides numerical estimates of quaternionic two-qubit separability functions and confirms their proportionality to powers of complex and real cases based on Dyson indices.
Findings
Quaternionic separability function proportional to the square of the complex function.
Quaternionic separability probability estimated at approximately 0.0774.
Supports Dyson-index-based relationships among separability functions.
Abstract
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}…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced NMR Techniques and Applications · Quantum Information and Cryptography · Quantum Mechanics and Applications
