Zobrazeno 1 - 10
of 22 401
pro vyhledávání: '"Juan, Jose"'
Autor:
Rodríguez-Aldavero, Juan José, García-Molina, Paula, Tagliacozzo, Luca, García-Ripoll, Juan José
This work explores the representation of univariate and multivariate functions as matrix product states (MPS), also known as quantized tensor-trains (QTT). It proposes an algorithm that employs iterative Chebyshev expansions and Clenshaw evaluations
Externí odkaz:
http://arxiv.org/abs/2407.09609
Autor:
Lima-Pereira, Bárbara K., Nuño-Ballesteros, Juan José, Oréfice-Okamoto, Bruna, Tomazella, João Nivaldo
We relate the Bruce-Roberts numbers of a 1-form with respect to an ICIS to other invariants as the GSV-index, Tjurina and Milnor numbers.
Externí odkaz:
http://arxiv.org/abs/2409.08380
We introduce a variational algorithm based on Matrix Product States that is trained by minimizing a generalized free energy defined using Tsallis entropy instead of the standard Gibbs entropy. As a result, our model can generate the probability distr
Externí odkaz:
http://arxiv.org/abs/2409.08352
This research focuses on solving time-dependent partial differential equations (PDEs), in particular the time-dependent Schr\"odinger equation, using matrix product states (MPS). We propose an extension of Hermite Distributed Approximating Functional
Externí odkaz:
http://arxiv.org/abs/2409.02916
Reinforcement learning is a subfield of machine learning that is having a huge impact in the different conventional disciplines, including physical sciences. Here, we show how reinforcement learning methods can be applied to solve optimization proble
Externí odkaz:
http://arxiv.org/abs/2408.15727
Autor:
Jacob, Samuel L., Bettmann, Laetitia P., Lacerda, Artur M., Zawadzki, Krissia, Clark, Stephen R., Goold, John, Mendoza-Arenas, Juan José
An environment interacting with a quantum system can enhance transport through the suppression of quantum effects responsible for localization. In this paper, we study the interplay between bulk dephasing and a linear potential in a boundary-driven t
Externí odkaz:
http://arxiv.org/abs/2407.21715
Autor:
Wu, Beilun, Martínez, Andrés, Obladen, Paula, Fernández-Lomana, Marta, Herrera, Edwin, Sabater, Carlos, Palacios, Juan José, Guillamón, Isabel, Suderow, Hermann
We measure Au and Ag atomic-size contacts in magnetic fields, from zero field to 20 T. We find a magnetic field induced torque which leads to atomic binding at shorter distances than at zero field. Furthermore, the conductance drops below $G_0$ at hi
Externí odkaz:
http://arxiv.org/abs/2407.20577
The study of Twitter as a means for analyzing social phenomena has gained interest in recent years due to the availability of large amounts of data in a relatively spontaneous environment. Within opinion-mining tasks, emotion detection is specially r
Externí odkaz:
http://arxiv.org/abs/2407.07258
Autor:
Garau-Luis, Juan Jose, Bordes, Patrick, Gonzalez, Liam, Roller, Masa, de Almeida, Bernardo P., Hexemer, Lorenz, Blum, Christopher, Laurent, Stefan, Grzegorzewski, Jan, Lang, Maren, Pierrot, Thomas, Richard, Guillaume
Biological sequences encode fundamental instructions for the building blocks of life, in the form of DNA, RNA, and proteins. Modeling these sequences is key to understand disease mechanisms and is an active research area in computational biology. Rec
Externí odkaz:
http://arxiv.org/abs/2406.14150
Generative AI offers a simple, prompt-based alternative to fine-tuning smaller BERT-style LLMs for text classification tasks. This promises to eliminate the need for manually labeled training data and task-specific model training. However, it remains
Externí odkaz:
http://arxiv.org/abs/2406.08660