Record link: 
http://hdl.handle.net/20.500.12708/152872
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Title: 
Constructive Neural Network models for studying Bell Nonlocality and Entangle- ment.
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Citation: 
Krivachy, T. M., Cai, Y., Cavalcanti, D., Tavakoli, A., Gisin, N., & Brunner, N. (2022, May 23). Constructive Neural Network models for studying Bell Nonlocality and Entangle- ment. [Conference Presentation]. 7th Quantum Information in Spain Conference (ICE-7), Granada, Spain.
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Krivachy, Tamas Miklos 
Cai, Yu 
Cavalcanti, Daniel 
Tavakoli, Arash 
Gisin, Nicolas 
Brunner, Nicolas 
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Organisational Unit: 
E141-08 - Forschungsbereich Quantum Optics and Quantum Information 
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Date (published): 
23-May-2022
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Event name: 
7th Quantum Information in Spain Conference (ICE-7) 
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Event date: 
23-May-2022 - 27-May-2022
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Event place: 
Granada, Spain
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Keywords: 
Quantum Physics; Quantum Technologies; Quantum Modeling; Simulation
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Abstract: 
Constructive Neural Network models for studying Bell Nonlocality and Entangle- ment. Quantum Physics and Quantum Technologies, Quantum Modeling and Simulation Q: Does there exist a local model / separable decomposition? Tamás Kriváchy, Yu Cai, Daniel Cavalcanti, Arash Tavakoli, Nicolas Gisin and Nicolas Brunner, A neural network oracle for quantum nonlocality problems in networks, npj Quantum Information 6, 70 (2020) Antoine Girardin, Nicolas Brunner and Tamás Kriváchy Building separable approximations for quantum states via neural networks, arXiv:2112.08055 (2022)
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Project (external): 
Grand SNF
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Additional information: 
Contributed talk
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Research Areas: 
Quantum Modeling and Simulation: 100%
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Science Branch: 
1030 - Physik, Astronomie: 100%
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