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

TL;DR
This paper estimates separability probabilities for qubit-qutrit and related systems, extends Lovas-Andai formulas to induced measures, and explores patterns in these probabilities through numerical and analytical methods.
Contribution
It introduces new separability probability values for qubit-qutrit systems, extends the Lovas-Andai master formula to induced measures, and investigates probability patterns across different quantum state sets.
Findings
Estimated qubit-qutrit separability probability as 27/1000
Extended Lovas-Andai formula to induced measures with new results
Found equal probabilities for certain X-states across measures
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 and (the 9-dimensional) two-rebits of . Based in part on extensive numerical computations, we advance the possibilities of a qubit-qutrit value of and a rebit-retrit one of . These four values for systems () suggest certain numerator/denominator sequences involving powers of , which we further investigate for . Additionally, we find that the Hilbert-Schmidt separability/PPT-probabilities for the two-rebit, rebit-retrit and…
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
TopicsQuantum Computing Algorithms and Architecture · Computability, Logic, AI Algorithms · Benford’s Law and Fraud Detection
