Strong convergence for tensor GUE random matrices
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Information on the Video
Film maker : Hennenfent, GuillaumeLanguage : English Available date : 26/07/2024 Conference Date : 08/07/2024 Subseries : Research School arXiv category : Probability ; Operator Algebras Mathematical Area(s) : Mathematical Physics ; Probability & Statistics Format : MP4 (.mp4) - HD Video Time : 00:39:23 Targeted Audience : Researchers ; Graduate Students ; Doctoral Students, Post-Doctoral Students Download : https://videos.cirm-math.fr/2024-07-08_yuan.mp4 |
Information on the Event
Event Title : Jean Morlet Chair - Research school: Random quantum channels: entanglement and entropies / Chaire Jean Morlet - Ecole: Canaux quantiques aléatoires: Intrication et entropiesEvent Organizers : Collins, Benoît ; Demni, Nizar ; Kadri, Hachem ; Lancien, Cécilia ; Nechita, Ion ; Pellegrini, Clément Dates : 08/07/2024 - 12/07/2024 Event Year : 2024 Event URL : https://conferences.cirm-math.fr/3051.html
Citation Data
DOI : 10.24350/CIRM.V.20200603Cite this video as: Yuan, Wangjun (2024). Strong convergence for tensor GUE random matrices. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.20200603 URI : http://dx.doi.org/10.24350/CIRM.V.20200603 |
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