437 citations
- Universidad Antonio NariñoCO23 papers
- Tomsk State Pedagogical UniversityRU16 papers
- Industrial University of SantanderCO11 papers
- Universidad Santiago de CaliCO10 papers
- Centre National de la Recherche ScientifiqueFR9 papers
- Heidelberg UniversityDE9 papers
- Universidad Autónoma de MadridES9 papers
- National Defense Academy of JapanJP8 papers
- Technical University of MunichDE6 papers
- Universidad Complutense de MadridES6 papers
- Universidade Estadual de LondrinaBR6 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Milano BicoccaIT5 papers
223 papers
On the differentiability of the Sobolev norm of on compact Riemannian manifolds
Duvan Cardona, Julio Delgado, Andres Felipe Muñoz-Tello
In this work we study the differentiability for the Sobolev norm of in the sense of Gâteaux , where is an arbitrary closed Riemannian manifold.
Minimal Effort to Consensus (MEC) polarization measure
Jesús Aranda, Juan Francisco Díaz, Juan Camilo Narváez +4
We introduce the Minimum Effort to Consensus (MEC), a measure that quantifies polarization as resistance to consensus: a population is highly polarized when much effort is needed t…
Engineering a Correlated Narrow-Gap Semiconductor: Effects of Ga Substitution in EuZnP
M. Dutra, E. Marulanda, G. G. Vasques +11
The effect of Ga substitution on the electronic, magnetic, and low-energy responses of the Zintl phase EuZnP is investigated by electrical transport, electron spin resonanc…
Inconsistencies of Tsallis Cosmology within Horizon Thermodynamics and Holographic Scenarios
Pedro M. Ibarbo-Perlaza., J. Bayron Orjuela-Quintana, Jose L. Palacios-Córdoba +1
We investigate the cosmological implications of Tsallis entropy in two widely discussed frameworks: the Cai-Kim thermodynamic derivation of the Friedman equations and the Tsallis h…
Machine learning non-Markovian two-level quantum noise spectroscopy
Juan Manuel Scarpetta, John Henry Reina, Morten Hjorth-Jensen
We develop machine learning models for the automated characterization of quantum noise spectroscopy for non-Hermitian two-level systems. We use the Random Forest, Support Vector an…
Markovian heat engine boosted by quantum coherence
Freddier Cuenca-Montenegro, Marcela Herrera, John H. Reina
We evaluate the role of quantum coherence as a thermodynamic resource in a noisy, Markovian, one-qubit heat engine. By consuming the coherence of noisy quantum states, we demonstra…