Academic Journal

Bell nonlocality using tensor networks and sparse recovery

التفاصيل البيبلوغرافية
العنوان: Bell nonlocality using tensor networks and sparse recovery
المؤلفون: Eliëns, Ian Sebastiaan, Brito, S. G. A., Araújo, Rafael Chaves Souto
بيانات النشر: American Physical Society
سنة النشر: 2020
المجموعة: Universidade Federal do Rio Grande do Norte: Repositório Institucional (RI UFRN)
مصطلحات موضوعية: Quantum entanglement, Quantum nonlocality
الوصف: Bell’s theorem, stating that quantum predictions are incompatible with a local hidden variable description, is a cornerstone of quantum theory and at the center of many quantum information processing protocols. Over the years, different perspectives on nonlocality have been put forward as well as different ways to detect nonlocality and quantify it. Unfortunately, and in spite of its relevance, as the complexity of the Bell scenario increases, deciding whether a given observed correlation is nonlocal becomes computationally intractable. Here, we propose to analyze a Bell scenario as a tensor network, a perspective permitting us to test and quantify nonlocality, resorting to very efficient algorithms originating from compressed sensing and that offer a significant speedup in comparison with standard linear programming methods. We use that all nonsignaling correlations can be described by hidden variable models governed by a quasiprobability, a fact we prove with simple linear algebra methods
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
تدمد: 2643-1564
Relation: ELIËNS, I. S.; BRITO, S. G. A.; CHAVES, R. Bell nonlocality using tensor networks and sparse recovery. Physical Review Research, [S.L.], v. 2, n. 2, p. 023198, 20 maio 2020. Disponível em: https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.2.023198. Acesso em: 03 set. 2020. http://dx.doi.org/10.1103/physrevresearch.2.023198.; https://repositorio.ufrn.br/jspui/handle/123456789/30095
DOI: 10.1103/physrevresearch.2.023198
الاتاحة: https://repositorio.ufrn.br/jspui/handle/123456789/30095
https://doi.org/10.1103/physrevresearch.2.023198
Rights: Attribution 3.0 Brazil ; http://creativecommons.org/licenses/by/3.0/br/
رقم الانضمام: edsbas.A946FD8C
قاعدة البيانات: BASE
الوصف
تدمد:26431564
DOI:10.1103/physrevresearch.2.023198