Zobrazeno 1 - 10
of 17 836
pro vyhledávání: '"Prati, A."'
When combined with In-Context Learning, a technique that enables models to adapt to new tasks by incorporating task-specific examples or demonstrations directly within the input prompt, autoregressive language models have achieved good performance in
Externí odkaz:
http://arxiv.org/abs/2410.13118
Recent advancements in generative models have revolutionized the field of artificial intelligence, enabling the creation of highly-realistic and detailed images. In this study, we propose a novel Mask Conditional Text-to-Image Generative Model (MCGM)
Externí odkaz:
http://arxiv.org/abs/2410.00483
Autor:
Botti, Filippo, Ergasti, Alex, Rossi, Leonardo, Fontanini, Tomaso, Ferrari, Claudio, Bertozzi, Massimo, Prati, Andrea
The goal of style transfer is, given a content image and a style source, generating a new image preserving the content but with the artistic representation of the style source. Most of the state-of-the-art architectures use transformers or diffusion-
Externí odkaz:
http://arxiv.org/abs/2409.10385
Autor:
Agliardi, Gabriele, Prati, Enrico
Complex quantum circuits are constituted by combinations of quantum subroutines. The computation is possible as long as the quantum data encoding is consistent throughout the circuit. Despite its fundamental importance, the formalization of quantum d
Externí odkaz:
http://arxiv.org/abs/2409.09339
We identify a noise model that ensures the functioning of an echo state network employing a gate-based quantum computer for reservoir computing applications. Energy dissipation induced by amplitude damping drastically improves the short-term memory c
Externí odkaz:
http://arxiv.org/abs/2409.07886
The advent of quantum computers has justified the development of quantum machine learning algorithms , based on the adaptation of the principles of machine learning to the formalism of qubits. Among such quantum algorithms, anomaly detection represen
Externí odkaz:
http://arxiv.org/abs/2408.11047
Autor:
Letsou, Theodore P., Kazakov, Dmitry, Ratra, Pawan, Columbo, Lorenzo L., Brambilla, Massimo, Prati, Franco, Rimoldi, Cristina, Cin, Sandro Dal, Opačak, Nikola, Everitt, Henry O., Piccardo, Marco, Schwarz, Benedikt, Capasso, Federico
Coupling is an essential mechanism that drives complexity in natural systems, transforming single, non-interacting elements into intricate networks with rich physical properties. Here, we demonstrate a chip-scale coupled laser system that exhibits co
Externí odkaz:
http://arxiv.org/abs/2408.09284
First direct measurement of the 64.5 keV resonance strength in $^{17}$O(p,$\gamma$)$^{18}$F reaction
Autor:
Gesuè, R. M., Ciani, G. F., Piatti, D., Boeltzig, A., Rapagnani, D., Aliotta, M., Ananna, C., Barbieri, L., Barile, F., Bemmerer, D., Best, A., Broggini, C., Bruno, C. G., Caciolli, A., Campostrini, M., Casaburo, F., Cavanna, F., Colombetti, P., Compagnucci, A., Corvisiero, P., Csedreki, L., Davinson, T., De Gregorio, G. M., Dell'Aquila, D., Depalo, R., Di Leva, A., Elekes, Z., Ferraro, F., Formicola, A., Fülöp, Zs., Gervino, G., Guglielmetti, A., Gustavino, C., Gyürky, Gy., Imbriani, G., Junker, M., Lugaro, M., Marigo, P., Marsh, J., Masha, E., Menegazzo, R., Mercogliano, D., Paticchio, V., Perrino, R., Prati, P., Rigato, V., Robb, D., Schiavulli, L., Sidhu, R. S., Skowronski, J., Straniero, O., Szücs, T., Zavatarelli, S.
The CNO cycle is one of the most important nuclear energy sources in stars. At temperatures of hydrostatic H-burning (20 MK $<$ T $<$ 80 MK) the $^{17}$O(p,$\gamma$)$^{18}$F reaction rate is dominated by the poorly constrained 64.5~keV resonance. Her
Externí odkaz:
http://arxiv.org/abs/2408.03015
Quantum computers have proven to be effective in simulating many quantum systems. Simulating nuclear processes and state preparation poses significant challenges, even for traditional supercomputers. This study demonstrates the feasibility of a compl
Externí odkaz:
http://arxiv.org/abs/2408.01943
A Tutorial on the Use of Physics-Informed Neural Networks to Compute the Spectrum of Quantum Systems
Quantum many-body systems are of great interest for many research areas, including physics, biology and chemistry. However, their simulation is extremely challenging, due to the exponential growth of the Hilbert space with the system size, making it
Externí odkaz:
http://arxiv.org/abs/2407.20669