Characterizes an achievable rate/error-exponent region for bipartite-entanglement-assisted joint communication and sensing over lossy thermal-noise bosonic channels that can beat time-sharing.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2025 2verdicts
UNVERDICTED 2representative citing papers
Large deviation entropy defines the geometry of empirical data manifolds, breaking spherical geometry for pairwise statistics, and equates information projections from information geometry with those in Kolmogorov probability theory under i.i.d. and Markov assumptions.
citing papers explorer
-
Joint Communication and Sensing with Bipartite Entanglement over Bosonic Channels
Characterizes an achievable rate/error-exponent region for bipartite-entanglement-assisted joint communication and sensing over lossy thermal-noise bosonic channels that can beat time-sharing.
-
The Geometry of Statistical Data and Information: A Large Deviation Perspective
Large deviation entropy defines the geometry of empirical data manifolds, breaking spherical geometry for pairwise statistics, and equates information projections from information geometry with those in Kolmogorov probability theory under i.i.d. and Markov assumptions.