Computing mixed Schatten norm of completely positive maps
Mohammad ShahverdiKondori, Sio On Chan

TL;DR
This paper introduces an iterative method for computing the Schatten $p ightarrow q$ norm of completely positive maps, extending classical matrix norm computation techniques to a broader operator setting.
Contribution
The authors generalize matrix norm concepts and properties to completely positive maps and establish an iterative method for computing their Schatten norms.
Findings
Defined an iteration method for Schatten $p ightarrow q$ norm of completely positive maps.
Generalized matrix norm properties to the setting of completely positive maps.
Proved a key theorem extending classical results to this new context.
Abstract
Computing norm for matrices is a classical problem in computational mathematics and power iteration is a well-known method for computing norm for a matrix with nonnegative entries. Here we define an equivalent iteration method for computing norm for completely positive maps where is the Schatten norm. We generalize almost all of the definitions, properties, lemmas, etc. in the matrix setting to completely positive maps and prove an important theorem in this setting.
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
TopicsMatrix Theory and Algorithms · Advanced Topics in Algebra · Graph theory and applications
