4.2k citations
- Politecnico di TorinoIT21 papers
- University of SalernoIT19 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di NapoliIT18 papers
- National Interuniversity Consortium for the Physical Sciences of MatterIT18 papers
- Centre National de la Recherche ScientifiqueFR16 papers
- University of MilanIT16 papers
- Sapienza University of RomeIT14 papers
- University of Southern CaliforniaUS14 papers
- Istituto Nazionale di Fisica Nucleare, Gruppo Collegato di Salerno13 papers
- Indiana University BloomingtonUS12 papers
- Université Paris-SudFR8 papers
- Centre de Physique ThéoriqueFR7 papers
48 papers · 1 filter
Hierarchies of Geometric Entanglement
M. Blasone, F. Dell'Anno, S. De Siena +1
We introduce a class of generalized geometric measures of entanglement. For pure quantum states of elementary subsystems, they are defined as the distances from the sets of …
Unsupervised and semi-supervised clustering by message passing: Soft-constraint affinity propagation
Michele Leone, Sumedha, Martin Weigt
Soft-constraint affinity propagation (SCAP) is a new statistical-physics based clustering technique. First we give the derivation of a simplified version of the algorithm and discu…
(Un)detectable cluster structure in sparse networks
Joerg Reichardt, Michele Leone
We study the problem of recovering a known cluster structure in a sparse network, also known as the planted partitioning problem, by means of statistical mechanics. We find a sharp…
Quantum Chernoff Bound metric for the XY model at finite temperature
Damian F. Abasto, N. Tobias Jacobson, Paolo Zanardi
We explore the finite temperature phase diagram of the anisotropic XY spin chain using the Quantum Chernoff Bound metric on thermal states. The analysis of the metric elements allo…
Who's talking first? Consensus or lack thereof in coevolving opinion formation models
Cecilia Nardini, Balazs Kozma, Alain Barrat
We investigate different opinion formation models on adaptive network topologies. Depending on the dynamical process, rewiring can either (i) lead to the elimination of interaction…
Inversion method for content-based networks
Jose J. Ramasco, Muhittin Mungan
In this paper, we generalize a recently introduced Expectation Maximization (EM) method for graphs and apply it to content-based networks. The EM method provides a classification o…