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Artículo
Quantum machine learning and quantum biomimetics: A perspective
(2632-2153, 2020-07)
Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technologies. It may permit, on the one hand, to carry out more efficient machine learning calculations by means of quantum devices, ...
Artículo
Benefits of Open Quantum Systems for Quantum Machine Learning
(Wiley, 2023)
Quantum machine learning (QML) is a discipline that holds the promise ofrevolutionizing data processing and problem-solving. However, dissipationand noise arising from the coupling with the environment are commonlyperceived ...
Artículo
SuSAv2 Model for Inelastic Neutrino-nucleus Scattering
(American Physical Society, 2022)
The susperscaling model SuSAv2, already available for charged-current neutrino-nucleus cross sections in the quasielastic region, is extended to the full inelastic regime. In the model the resonance production and deep ...
Artículo
Thermal Versus Entropic Mpemba Effect in Molecular Gases with Nonlinear Drag
(American Physical Society, 2022)
Loosely speaking, the Mpemba effect appears when hotter systems cool sooner or, in a more abstract way, when systems further from equilibrium relax faster. In this paper, we investigate the Mpemba effect in a molecular gas ...
Artículo
SuSAv2 Model for Inelastic Neutrino-nucleus Scattering
(American Physical Society, 2022)
The susperscaling model SuSAv2, already available for charged-current neutrino-nucleus cross sections in the quasielastic region, is extended to the full inelastic regime. In the model the resonance production and deep ...
Artículo
Spectrometric Performance of SiC Radiation Detectors at High Temperature
(Elsevier, 2024)
In this work, we have investigated the performance of a 4H–SiC radiation sensor in the temperature range from 25 °C to 450 °C to explore its compatibility as detector of fast ion losses in plasma diagnostic of future nuclear ...