Zobrazeno 1 - 10
of 2 407
pro vyhledávání: '"Pozas, A."'
Despite their importance in quantum theory, joint quantum measurements remain poorly understood. An intriguing conceptual and practical question is whether joint quantum measurements on separated systems can be performed without bringing them togethe
Externí odkaz:
http://arxiv.org/abs/2408.00831
Autor:
Ulibarrena, Andrés, Webb, Jonathan W., Pickston, Alexander, Ho, Joseph, Fedrizzi, Alessandro, Pozas-Kerstjens, Alejandro
Publikováno v:
npj Quantum Inf. 10, 117 (2024)
Quantum networks connect and supply a large number of nodes with multi-party quantum resources for secure communication, networked quantum computing and distributed sensing. As these networks grow in size, certification tools will be required to answ
Externí odkaz:
http://arxiv.org/abs/2403.02376
Autor:
Grzybowski, Przemysław R., Jankiewicz, Antoni, Piñol, Eloy, Cirauqui, David, Grzybowska, Dorota H., Petrykowski, Paweł M., García-March, Miguel Ángel, Lewenstein, Maciej, Muñoz-Gil, Gorka, Pozas-Kerstjens, Alejandro
It is widely known that Boltzmann machines are capable of representing arbitrary probability distributions over the values of their visible neurons, given enough hidden ones. However, sampling -- and thus training -- these models can be numerically h
Externí odkaz:
http://arxiv.org/abs/2310.14395
Publikováno v:
Vol. 70 No. 4 Jul-Aug (2024): Revista Mexicana de F\'isica
Cobimaximal mixing predicts $\pi/4$ and $3\pi/2$ for the atmospheric angle and the Dirac CP-violating phase, respectively. These values are in tension with the neutrino globals fits. If this pattern was behind the lepton mixings, then it would have t
Externí odkaz:
http://arxiv.org/abs/2310.03000
Autor:
Andrés Ulibarrena, Jonathan W. Webb, Alexander Pickston, Joseph Ho, Alessandro Fedrizzi, Alejandro Pozas-Kerstjens
Publikováno v:
npj Quantum Information, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract Quantum networks connect and supply a large number of nodes with multi-party quantum resources for secure communication, networked quantum computing and distributed sensing. As these networks grow in size, certification tools will be require
Externí odkaz:
https://doaj.org/article/9976c11154d6422d9608812196098e9d
Semidefinite programs are convex optimisation problems involving a linear objective function and a domain of positive semidefinite matrices. Over the last two decades, they have become an indispensable tool in quantum information science. Many otherw
Externí odkaz:
http://arxiv.org/abs/2307.02551
Publikováno v:
Phys. Rev. A 110, 022617 (2024)
With the increased availability of quantum technological devices, it becomes more important to have tools to guarantee their correct nonclassical behavior. This is especially important for quantum networks, which constitute the platforms where multip
Externí odkaz:
http://arxiv.org/abs/2306.15717
Publikováno v:
Quantum 8, 1364 (2024)
Tensor networks are factorizations of high-dimensional tensors into networks of smaller tensors. They have applications in physics and mathematics, and recently have been proposed as promising machine learning architectures. To ease the integration o
Externí odkaz:
http://arxiv.org/abs/2306.08595
Autor:
Pozas-Kerstjens, Alejandro, Girardin, Antoine, Kriváchy, Tamás, Tavakoli, Armin, Gisin, Nicolas
Publikováno v:
New J. Phys. 25, 113037 (2023)
We investigate network nonlocality in the triangle scenario when all three parties have no input and binary outputs. Through an explicit example, we prove that this minimal scenario supports nonlocal correlations compatible with no-signaling and inde
Externí odkaz:
http://arxiv.org/abs/2305.03745
Autor:
Marta Turegano-Lopez, Felix de las Pozas, Andrea Santuy, Jose-Rodrigo Rodriguez, Javier DeFelipe, Angel Merchan-Perez
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-16 (2024)
Abstract The highly complex structure of the brain requires an approach that can unravel its connectivity. Using volume electron microscopy and a dedicated software we can trace and measure all nerve fibers present within different samples of brain t
Externí odkaz:
https://doaj.org/article/2d3fe19929d54a1db8f07bea9f42451f