A central limit theorem for partial transposes of multipartite Wishart matrices
Gyunam Park, Sang-Gyun Youn

TL;DR
This paper proves a central limit theorem for partial transposes of multipartite Wishart matrices, extending asymptotic freeness results from bipartite to multipartite cases in quantum information theory.
Contribution
It generalizes asymptotic freeness of partial transposes to multipartite matrices and establishes a central limit theorem in this context.
Findings
Almost sure asymptotic freeness for multipartite partial transposes
Central limit theorem for partial transposes of Wishart matrices
Extension of bipartite results to multipartite setting
Abstract
The partial transposition from quantum information theory provides a new source to distill the so-called asymptotic freeness without the assumption of classical independence between random matrices. Indeed, a recent paper [MP19] established asymptotic freeness between partial transposes in the bipartite situation. In this paper, we prove almost sure asymptotic freeness in the general multipartite situation and establish a central limit theorem for the partial transposes.
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
TopicsRandom Matrices and Applications · Point processes and geometric inequalities · Mathematical Dynamics and Fractals
