Enlaces de Interés
Área de Investigación
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Teoría de la información cuántica
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Inteligencia Artificial
Proyectos
- Investigador Responsable del proyecto “DEEP LEARNING AND PROJECTION METHODS FOR ADVANCES IN QUANTUM INFORMATION THEORY”. Postdoctorado ANID, número 3230427, 2023-2025.
Publicaciones
[ 5 ] |
D. Uzcategui-Contreras, A. Guerra, S. Niklitschek, and A. Delgado: Machine Learning Approach to Reconstruct Density Matrices from Quantum Marginals. Machine Learning: Science and Technology, June 2025. | |
[ 4 ] |
J. Escandón-Monardes, D. Uzcátegui, M. Rivera-Tapia, S. Walborn, and A. Delgado: Estimation of high-dimensional unitary transformations saturating the Quantum Cramér-Rao bound. Quantum. 8. 1405 (2024). | |
[ 3 ] |
S. Gómez, D. Uzcátegui, I. Machuca, E. S. Gómez, S. P. Walborn, G. Lima, and D. Goyeneche: Optimal strategy to certify quantum nonlocality. Sci Rep 11, 20489 (2021). | |
[ 2 ] |
D. Uzcátegui, G. Senno and D. Goyeneche: Fast and simple quantum state estimation. J. Phys. A: Math. Theor. 54 085302 (2021). | |
[ 1 ] |
D. Uzcátegui, D. Goyeneche, O. Turek, and Z. Václavíková: Circulant matrices with orthogonal rows and off-diagonal entries of absolute value 1. Communications in Mathematics, vol.29, no.1, 2021, pp.15-34. |