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Titlebook: Many-Particle Entanglement, Einstein-Podolsky-Rosen Steering and Bell Correlations in Bose-Einstein ; Matteo Fadel Book 2021 The Editor(s)

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樓主: breath-focus
11#
發(fā)表于 2025-3-23 13:38:55 | 只看該作者
Book 2021ensates. Nonclassical correlations in many-body?system?s?are particularly interesting for both fundamental research and practical applications. For their investigation, ultracold atomic ensembles offer an ideal platform, due to their high controllability and long coherence times. In particular, we i
12#
發(fā)表于 2025-3-23 14:11:50 | 只看該作者
13#
發(fā)表于 2025-3-23 18:22:45 | 只看該作者
14#
發(fā)表于 2025-3-24 01:49:28 | 只看該作者
2364-9054 eference point for the current research.Emphasizes open ques.This book presents theoretical methods and experimental results on the study of multipartite quantum correlations in spin-squeezed Bose–Einstein condensates. Nonclassical correlations in many-body?system?s?are particularly interesting for
15#
發(fā)表于 2025-3-24 05:33:55 | 只看該作者
Many-Particle Entanglement, Einstein-Podolsky-Rosen Steering and Bell Correlations in Bose-Einstein
16#
發(fā)表于 2025-3-24 07:54:01 | 只看該作者
17#
發(fā)表于 2025-3-24 12:35:15 | 只看該作者
18#
發(fā)表于 2025-3-24 16:20:04 | 只看該作者
Bose-Einstein Condensates: Theory,e models describing their dynamics. In particular, we will present time dependent and independent mean-field models, as well as a collective spin representation particularly convenient for BECs of particles with internal states. We explain the role played by the trapping potential, and by particle i
19#
發(fā)表于 2025-3-24 21:30:13 | 只看該作者
Bose-Einstein Condensates: Experiments,ng system, which will later play a central role. Moreover, we summarize the procedures adopted for the preparation and characterization of BECs, presenting the tools for the manipulation of their internal and external degrees of freedom, together with measurements of their phase coherence.
20#
發(fā)表于 2025-3-25 01:51:02 | 只看該作者
Salina Torres,Yvonne Dailey,Kirsten Whitegin by recalling their Spectrum clustering method and Matrix diagonalization criterion. These two include a number of user-specified parameters such as the number of clusters and similarity threshold, which corresponds to the state of affairs as it was at early stages of data science developments; i
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