Zobrazeno 1 - 10
of 2 120
pro vyhledávání: '"P. Grasselli"'
Autor:
Grasselli, Federico, Chesi, Giovanni, Walk, Nathan, Kampermann, Hermann, Widomski, Adam, Ogrodnik, Maciej, Karpiński, Michał, Macchiavello, Chiara, Bruß, Dagmar, Wyderka, Nikolai
Quantum Key Distribution (QKD) is a promising technology for secure communication. Nevertheless, QKD is still treated with caution in certain contexts due to potential gaps between theoretical models and actual QKD implementations. A common assumptio
Externí odkaz:
http://arxiv.org/abs/2411.19874
Autor:
Lanore, Corentin, Grasselli, Federico, Valcarce, Xavier, Bancal, Jean-Daniel, Sangouard, Nicolas
Nonlocal quantum realizations, certified by the violation of a Bell inequality, are core resources for device-independent quantum information processing. Although proof-of-principle experiments demonstrating device-independent quantum information pro
Externí odkaz:
http://arxiv.org/abs/2410.19670
We focus on the derivation and analysis of a model for multi-component phase separation occurring on biological membranes, inspired by observations of lipid raft formation. The model integrates local membrane composition with local membrane curvature
Externí odkaz:
http://arxiv.org/abs/2410.05492
Autor:
Ho, Joseph, Webb, Jonathan W., Brooks, Russell M. J., Grasselli, Federico, Gauger, Erik, Fedrizzi, Alessandro
Quantum networks will provide unconditional security for communication, computation and distributed sensing tasks. We report on an experimental demonstration of private parameter estimation, which allows a global phase to be evaluated without reveali
Externí odkaz:
http://arxiv.org/abs/2410.00970
As an introduction to a Special Issue of International Journal of Theoretical and Applied Finance in Honour of the Memory of Thomas Robert Hurd we present a brief synopsis of Tom Hurd's scientific career and a bibliography of his scientific publicati
Externí odkaz:
http://arxiv.org/abs/2408.16891
Autor:
Chong, Sanggyu, Bigi, Filippo, Grasselli, Federico, Loche, Philip, Kellner, Matthias, Ceriotti, Michele
The widespread application of machine learning (ML) to the chemical sciences is making it very important to understand how the ML models learn to correlate chemical structures with their properties, and what can be done to improve the training effici
Externí odkaz:
http://arxiv.org/abs/2408.14311
Autor:
How, Wei Bin, Chong, Sanggyu, Grasselli, Federico, Huguenin-Dumittan, Kevin K., Ceriotti, Michele
The electronic density of states (DOS) provides information regarding the distribution of electronic energy levels in a material, and can be used to approximate its optical and electronic properties and therefore guide computational material design.
Externí odkaz:
http://arxiv.org/abs/2407.01068
We study the number $N_{<0}(H_s)$ of negative eigenvalues, counting multiplicities, of the fractional Schr\"odinger operator $H_s=(-\Delta)^s-V(x)$ on $L^2(\mathbb{R}^d)$, for any $d\ge1$ and $s\ge d/2$. We prove a bound on $N_{<0}(H_s)$ which depend
Externí odkaz:
http://arxiv.org/abs/2405.01903
We consider local and nonlocal Cahn-Hilliard equations with constant mobility and singular potentials including, e.g., the Flory-Huggins potential, subject to no-flux (or periodic) boundary conditions. The main goal is to show that the presence of a
Externí odkaz:
http://arxiv.org/abs/2404.12113
We consider an evolution system modeling a flow of colloidal particles which are suspended in an incompressible fluid and accounts for colloidal crystallization. The system consists of the Navier-Stokes equations for the volume averaged velocity coup
Externí odkaz:
http://arxiv.org/abs/2404.10431