Interpolating between R\'enyi entanglement entropies for arbitrary bipartitions via operator geometric means
D\'avid Bug\'ar, P\'eter Vrana

TL;DR
This paper introduces a novel method to interpolate between Rényi entanglement entropies for arbitrary bipartitions using operator geometric means, providing new monotones with potential applications in quantum entanglement theory.
Contribution
It develops a new construction of entanglement monotones via regularized Rényi divergence and operator geometric means, extending previous entanglement measures.
Findings
Introduces new subadditive and submultiplicative monotones
Provides explicit operator families for functional interpolation
Establishes bounds and relationships between monotones
Abstract
The asymptotic restriction problem for tensors can be reduced to finding all parameters that are normalized, monotone under restrictions, additive under direct sums and multiplicative under tensor products, the simplest of which are the flattening ranks. Over the complex numbers, a refinement of this problem, originating in the theory of quantum entanglement, is to find the optimal rate of entanglement transformations as a function of the error exponent. This trade-off can also be characterized in terms of the set of normalized, additive, multiplicative functionals that are monotone in a suitable sense, which includes the restriction-monotones as well. For example, the flattening ranks generalize to the (exponentiated) R\'enyi entanglement entropies of order . More complicated parameters of this type are known, which interpolate between the flattening ranks or R\'enyi…
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 · Mathematical Approximation and Integration · Tensor decomposition and applications
