Zobrazeno 1 - 10
of 26 372
pro vyhledávání: '"P. Soriano"'
Autor:
W. Dekens, J. de Vries, D. Castillo, J. Menéndez, E. Mereghetti, V. Plakkot, P. Soriano, G. Zhou
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 9, Pp 1-48 (2024)
Abstract We investigate neutrinoless double-beta decay (0νββ) in minimal extensions of the Standard Model of particle physics where gauge-singlet right-handed neutrinos give rise to Dirac and Majorana neutrino mass terms. We argue that the standar
Externí odkaz:
https://doaj.org/article/7a5932c796ca4391a8dfc618a7d77af6
Publikováno v:
Physics Letters B, Vol 838, Iss , Pp 137689- (2023)
We calculate the nuclear matrix element for the two-neutrino ββ decay of 136Xe into the first excited 0+ state of 136Ba. We use different many-body methods: the quasiparticle random-phase approximation (QRPA) framework, the nuclear shell model, the
Externí odkaz:
https://doaj.org/article/571d5066c6a4400e997ad47b51251471
Autor:
García-Beni, Jorge, Paparelle, Iris, Parigi, Valentina, Giorgi, Gian Luca, Soriano, Miguel C., Zambrini, Roberta
A new approach suitable for distributed quantum machine learning and exhibiting memory is proposed for a photonic platform. This measurement-based quantum reservoir computing takes advantage of continuous variable cluster states as the main quantum r
Externí odkaz:
http://arxiv.org/abs/2411.06907
Autor:
Berrada, Tariq, Astolfi, Pietro, Verbeek, Jakob, Hall, Melissa, Havasi, Marton, Drozdzal, Michal, Benchetrit, Yohann, Romero-Soriano, Adriana, Alahari, Karteek
Latent diffusion models (LDMs) power state-of-the-art high-resolution generative image models. LDMs learn the data distribution in the latent space of an autoencoder (AE) and produce images by mapping the generated latents into RGB image space using
Externí odkaz:
http://arxiv.org/abs/2411.04873
Autor:
Ifriqi, Tariq Berrada, Astolfi, Pietro, Hall, Melissa, Askari-Hemmat, Reyhane, Benchetrit, Yohann, Havasi, Marton, Muckley, Matthew, Alahari, Karteek, Romero-Soriano, Adriana, Verbeek, Jakob, Drozdzal, Michal
Large-scale training of latent diffusion models (LDMs) has enabled unprecedented quality in image generation. However, the key components of the best performing LDM training recipes are oftentimes not available to the research community, preventing a
Externí odkaz:
http://arxiv.org/abs/2411.03177
Autor:
Soriano-Paños, David
Antigenic escape constitutes the main mechanism allowing rapidly evolving viruses to achieve endemicity. Beyond granting immune escape, empirical evidence also suggests that mutations of viruses might increase their inter-host transmissibility. While
Externí odkaz:
http://arxiv.org/abs/2411.02097
In this paper, we extend the museum pass problem to incorporate the market structure. To be more precise, we consider that museums are organized into several pass programs or consortia. Within this framework, we propose four allocation mechanisms bas
Externí odkaz:
http://arxiv.org/abs/2410.23923
Autor:
Labay-Mora, Adrià, García-Beni, Jorge, Giorgi, Gian Luca, Soriano, Miguel C., Zambrini, Roberta
Quantum optical networks are instrumental to address fundamental questions and enable applications ranging from communication to computation and, more recently, machine learning. In particular, photonic artificial neural networks offer the opportunit
Externí odkaz:
http://arxiv.org/abs/2410.17702
Autor:
Palacios, Ana, Martínez-Peña, Rodrigo, Soriano, Miguel C., Giorgi, Gian Luca, Zambrini, Roberta
Quantum Reservoir Computing (QRC) offers potential advantages over classical reservoir computing, including inherent processing of quantum inputs and a vast Hilbert space for state exploration. Yet, the relation between the performance of reservoirs
Externí odkaz:
http://arxiv.org/abs/2409.17734
Autor:
Rojas-Venegas, José Alejandro, Gallarta-Sáenz, Pablo, Hurtado, Rafael G., Gómez-Gardeñes, Jesús, Soriano-Paños, David
Publikováno v:
Entropy 2024, 26(10), 888
Obtaining accurate forecasts for the evolution of epidemic outbreaks from deterministic compartmental models represents a major theoretical challenge. Recently, it has been shown that these models typically exhibit trajectories' degeneracy, as differ
Externí odkaz:
http://arxiv.org/abs/2409.06438