Asymptotic Equipartition Theorems in von Neumann algebras
Omar Fawzi, Li Gao, and Mizanur Rahaman

TL;DR
This paper extends the asymptotic equipartition property to states and channels in von Neumann algebras, showing that smooth max relative entropy converges to quantum relative entropy and providing bounds for sequential processes.
Contribution
It generalizes AEP to von Neumann algebras and introduces new chain rule and additivity results for quantum channels.
Findings
Smooth max relative entropy converges to quantum relative entropy for i.i.d. states.
Upper bounds for max relative entropy in sequential channel processes.
Extended chain rule and additivity results for quantum channels.
Abstract
The Asymptotic Equipartition Property (AEP) in information theory establishes that independent and identically distributed (i.i.d.) states behave in a way that is similar to uniform states. In particular, with appropriate smoothing, for such states both the min and the max relative entropy asymptotically coincide with the relative entropy. In this paper, we generalize several such equipartition properties to states on general von Neumann algebras. First, we show that the smooth max relative entropy of i.i.d. states on a von Neumann algebra has an asymptotic rate given by the quantum relative entropy. In fact, our AEP not only applies to states, but also to quantum channels with appropriate restrictions. In addition, going beyond the i.i.d. assumption, we show that for states that are produced by a sequential process of quantum channels, the smooth max relative entropy can be upper…
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
TopicsNeural dynamics and brain function · Advanced Memory and Neural Computing · Quantum Computing Algorithms and Architecture
