K‐Nonseparable Entanglement Measures Based on the Complete Information of Reduced States
Sign Up to like & getrecommendations! Published in 2025 at "Annalen der Physik"
DOI: 10.1002/andp.202500263
Abstract: In this work, the framework of k$k$ ‐nonseparability is utilized to investigate parameterized multipartite entanglement measures. A k$k$ ‐nonseparable revised informationally complete entanglement measure( k$k$ ‐RICEM) is proposed for n$n$ ‐partite quantum systems( 2≤k≤n$2\le k\le… read more here.
Keywords: measures based; nonseparable entanglement; entanglement; entanglement measures ... See more keywords
NIFL: A Statistical Measures-Based Method for Client Selection in Federated Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3225407
Abstract: Federated learning (FL) has been proposed as a machine learning approach to collaboratively learn a shared prediction model. Although, during FL training, only a subset of workers participate in each round, existing approaches introduce model… read more here.
Keywords: federated learning; statistical measures; model; measures based ... See more keywords