Zobrazeno 1 - 10
of 48 644
pro vyhledávání: '"Santana, P. P."'
Autor:
Nodar, Álvaro, De León, Irene, Arias, Danel, Mamedaliev, Ernesto, Molina, María Esperanza, Martín-Cordero, Manuel, Hernández-Santana, Senaida, Serrano, Pablo, Arranz, Miguel, Mentxaka, Oier, Carrascal, Ginés, Retolaza, Ander, Posadillo, Inmaculada
This work explores the potential of the Variational Quantum Eigensolver in solving Dynamic Portfolio Optimization problems surpassing the 100 qubit utility frontier. We systematically analyze how to scale this strategy in complexity and size, from 6
Externí odkaz:
http://arxiv.org/abs/2412.19150
Modeling quantum thermal machines provides a practical approach to describing the thermodynamic properties of quantum technologies and devices. For this purpose, power-law potentials are often employed as working mediums of quantum thermodynamic cycl
Externí odkaz:
http://arxiv.org/abs/2412.18684
This study investigates the trade-offs between fairness, privacy, and utility in image classification using machine learning (ML). Recent research suggests that generalization techniques can improve the balance between privacy and utility. One focus
Externí odkaz:
http://arxiv.org/abs/2412.11951
Recently, there has been an increasing interest in performing post-hoc uncertainty estimation about the predictions of pre-trained deep neural networks (DNNs). Given a pre-trained DNN via back-propagation, these methods enhance the original network b
Externí odkaz:
http://arxiv.org/abs/2412.04177
Quantum thermodynamics is a powerful theoretical tool for assessing the suitability of quantum materials as platforms for novel technologies. In particular, the modeling of quantum cycles allows us to investigate the heat changes and work extraction
Externí odkaz:
http://arxiv.org/abs/2411.12470
In this work, we obtain the Helmholtz decomposition for vector fields in Morrey, Zorko, and block spaces over bounded or exterior $C^{1}$ domains. Generally speaking, our proofs rely on a careful interplay of localization, flattening, and duality arg
Externí odkaz:
http://arxiv.org/abs/2411.12143
Classical simulations of quantum circuits are essential for verifying and benchmarking quantum algorithms, particularly for large circuits, where computational demands increase exponentially with the number of qubits. Among available methods, the cla
Externí odkaz:
http://arxiv.org/abs/2411.06822
Autor:
Yakubu, Paul Badu, Owusu, Evans, Santana, Lesther, Rahouti, Mohamed, Chehri, Abdellah, Xiong, Kaiqi
Denial of Service (DoS) attacks pose a significant threat in the realm of AI systems security, causing substantial financial losses and downtime. However, AI systems' high computational demands, dynamic behavior, and data variability make monitoring
Externí odkaz:
http://arxiv.org/abs/2411.03355
In this paper we study the birational geometry of $X$, a projective space $\mathbb{P}^n$ blown up at $s$ general points. We obtain a characterization of a special class of subvarieties, which we call Weyl $r$-planes, each of them being swept out by o
Externí odkaz:
http://arxiv.org/abs/2410.18008
Recent advances in deep learning have shown significant potential for solving combinatorial optimization problems in real-time. Unlike traditional methods, deep learning can generate high-quality solutions efficiently, which is crucial for applicatio
Externí odkaz:
http://arxiv.org/abs/2410.15714