Results 211 to 220 of about 348,558 (295)

Nuclear Physics in the Era of Quantum Computing and Quantum Machine Learning

open access: yesAdvanced Quantum Technologies, EarlyView.
The use of QML in the realm of nuclear physics at low energy is almost nonexistent. Three examples of the use of quantum computing and quantum machine in nuclear physics are presented: the determination of the phase/shape in nuclear models, the calculation of the ground state energy, and the identification of particles in nuclear physics experiments ...
José‐Enrique García‐Ramos   +4 more
wiley   +1 more source

Phytosynthesis and Characterization of Silver Nanoparticles from <i>Antigonon leptopus</i>: Assessment of Antibacterial and Cytotoxic Properties. [PDF]

open access: yesPharmaceutics
Gastelum-Cabrera M   +11 more
europepmc   +1 more source

Machine Learning for Maximizing the Memristivity of Single and Coupled Quantum Memristors

open access: yesAdvanced Quantum Technologies, EarlyView.
Machine learning (ML) methods are proposed to characterize the memristive properties of single and coupled quantum memristors. It is shown that maximizing the memristivity leads to large values in the degree of entanglement of two quantum memristors, unveiling the close relationship between quantum correlations and memory.
Carlos Hernani‐Morales   +5 more
wiley   +1 more source

Reproducing the Effects of Quantum Deformation in the Undeformed Jaynes‐Cummings Model

open access: yesAdvanced Quantum Technologies, EarlyView.
The inverse problem approach, where atomic probabilities are modulated according to a time‐dependent coupling, is studied for the Jaynes‐Cummings (JC) model. In particular, emphasis is placed on how to reproduce the effects of quantum deformation in a non‐deformed JC model.
Thiago T. Tsutsui   +2 more
wiley   +1 more source

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