2005/10/10 by Mauro Paternostro, M. Paternostro, Hyunseok Jeong +2 · 1 citation
Computer Science · Physics and Astronomy · #Artificial intelligence #Class (philosophy) #Computer science #Gaussian #Multipartite entanglement #Physics #Power (physics) #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Mechanics and Applications #Quantum entanglement #Quantum mechanics #Qubit #Squashed entanglement #Statistical physics #quant-ph
paper · pdf · doi:10.1103/physreva.73.012338
published as Phys. Rev. A 73, 012338 (2006) · 9 pages, 7 figures, RevTeX4
arxiv created 2005/10/10 · openalex publication_date 2006/01/26 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We investigate entanglement properties of a recently introduced class of macroscopic quantum superpositions in two-mode mixed states. One of the tools we use in order to infer the entanglement in this non-Gaussian class of states is the power to entangle a qubit system. Our study reveals features which are hidden in a standard approach to entanglement investigation based on the uncertainty principle of the quadrature variables. We briefly describe the experimental setup corresponding to our theoretical scenario and a suitable modification of the protocol which makes our proposal realizable within the current experimental capabilities.