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- Brookhaven National LaboratoryUS10 papers
- Harvard UniversityUS10 papers
- Institute of Radio AstronomyUA9 papers
- Hebrew University of JerusalemIL6 papers
- Boston UniversityUS4 papers
- University of FloridaUS4 papers
- Steklov Mathematical InstituteRU3 papers
- Technion – Israel Institute of TechnologyIL3 papers
- Tel Aviv UniversityIL3 papers
- University of ChicagoUS3 papers
- University of Notre DameUS3 papers
- Weizmann Institute of ScienceIL3 papers
10 papers · 1 filter
Trapping in complex networks
Aristotelis Kittas, Shai Carmi, Shlomo Havlin +1
We investigate the trapping problem in Erdos-Renyi (ER) and Scale-Free (SF) networks. We calculate the evolution of the particle density of random walkers in the presence of…
Coupling and Level Repulsion in the Localized Regime: From Isolated to Quasi-Extended Modes
K. Y. Bliokh, Y. P. Bliokh, V. Freilikher +2
We study the interaction of Anderson localized states in an open 1D random system by varying the internal structure of the sample. As the frequencies of two states come close, they…
A generation-based particle-hole density-matrix renormalization group study of interacting quantum dots
Yuval Weiss, Richard Berkovits
The particle-hole version of the density-matrix renormalization-group method (PH-DMRG) is utilized to calculate the ground-state energy of an interacting two-dimensional quantum do…
Numerical evaluation of the upper critical dimension of percolation in scale-free networks
Zhenhua Wu, Cecilia Lagorio, Lidia A. Braunstein +3
We propose a numerical method to evaluate the upper critical dimension of random percolation clusters in Erdős-Rényi networks and in scale-free networks with degree distribut…
A new approach to strongly correlated disorder
Z. Shemer, V. Halpern
Problems involving disordered systems are usually analyzed for systems with random disorder. However, there are many systems in which the main disorder involves clusters with corre…
Neural cryptography with queries
Andreas Ruttor, Wolfgang Kinzel, Ido Kanter
Neural cryptography is based on synchronization of tree parity machines by mutual learning. We extend previous key-exchange protocols by replacing random inputs with queries depend…