Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rodrigo Araiza Bravo"'
Publikováno v:
PRX Quantum, Vol 3, Iss 3, p 030325 (2022)
Quantum computing promises to speed up machine-learning algorithms. However, noisy intermediate-scale quantum (NISQ) devices pose engineering challenges to realizing quantum machine-learning (QML) advantages. Recently, a series of QML computational m
Externí odkaz:
https://doaj.org/article/144cbf497c7f4807ac5b25ebe935d764
Publikováno v:
New Journal of Physics, Vol 22, Iss 4, p 043003 (2020)
Quantum channels that break CHSH nonlocality on all input states are known as CHSH-breaking channels. In quantum networks, such channels are useless for distributing correlations that can violate the CHSH Inequality. Motivated by previous work on act
Externí odkaz:
https://doaj.org/article/1f3e8f7fcff041a99b6b64a9dda1c556
Publikováno v:
Conference on Lasers and Electro-Optics.
We characterize CHSH-breaking conditions for different qubit channels, and demonstrate that certain pairs of CHSH-breaking channels can be activated to become CHSH-nonlocality preserving when used in parallel, thus enabling CHSH-nonlocality distribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33b83a9e69c6d4d5f5adaa688226eff6
https://doi.org/10.1364/cleo_at.2020.jtu2a.21
https://doi.org/10.1364/cleo_at.2020.jtu2a.21
Quantum channels that break CHSH nonlocality on all input states are known as CHSH-breaking channels. In quantum networks, such channels are useless for distributing correlations that can violate the CHSH Inequality. Motivated by previous work on act
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a24207324daac36917f595d1990b60cb
http://arxiv.org/abs/1911.06349
http://arxiv.org/abs/1911.06349
Autor:
Mello, Olivia, Li, Yang, Camayd-Muñoz, Sarah Alejandra, DeVault, Clayton, Lobet, Michaël, Tang, Haoning, Lonçar, Marko, Mazur, Eric
Publikováno v:
Applied Physics Letters; 2/7/2022, Vol. 120 Issue 6, p1-8, 8p
Publikováno v:
New Journal of Physics; Apr2020, Vol. 22 Issue 4, p1-10, 10p