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Akademický článek

Quantum correlations and parameter estimation for two superconducting qubits interacting with a quantized field

Autor: K. Berrada, S. Abdel-Khalek, M. Algarni, H. Eleuch

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)

Abstract In the present manuscript, we introduce a quantum system of two superconducting qubits (S–Qs) interacting with a quantized field under the influence of the Kerr nonlinear medium and Ising interaction. We formulate the Hamiltonian of the qu

Externí odkaz: https://doaj.org/article/a7a6afeafd0a47918f7146e9572e5701

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Akademický článek

Accelerating growth of human coastal populations at the global and continent levels: 2000–2018

Autor: A. G. Cosby, V. Lebakula, C. N. Smith, D. W. Wanik, K. Bergene, A. N. Rose, D. Swanson, D. E. Bloom

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)

Abstract Current human population growth along Earth’s coasts is on a collision path with anticipated consequences of increasing natural and anthropogenic induced coastal hazards. Using recently-available ambient, dasymetric data, we developed meth

Externí odkaz: https://doaj.org/article/45e8c20b404b484a9bd33090c405dc8d

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Akademický článek

Quantum features for a system of two qutrits in the presence of power-law potential field

Autor: Bahaaudin M. Raffah, K. Berrada, E.M. Khalil, S. Abdel-Khalek

Publikováno v: Alexandria Engineering Journal, Vol 113, Iss , Pp 12-18 (2025)

In this article, we present a quantum model of the two-qutrit (T-Q) in the Λ-type configuration interacting with a field mode initially in a coherent state of power lower potential. We analyze the dynamical characteristics of this quantum system, ta

Externí odkaz: https://doaj.org/article/39e7f2398298442eb396f63a952f1de3

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Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods

Autor: K��ber, G��ran, Kalisch, Raffael, Puhlmann, Lara, Chmitorz, Andrea, Schick, Anita, Binder, Harald

Publikováno v: arXiv

When modeling longitudinal biomedical data, often dimensionality reduction as well as dynamic modeling in the resulting latent representation is needed. This can be achieved by artificial neural networks for dimension reduction, and differential equa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ba21a72a807fe84132ef3fd828eb891

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