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We analyze the Google matrix of directed networks of Wikipedia articles related to eight recent Wikipedia language editions representing different cultures (English, Arabic, German, Spanish, French, Italian, Russian, Chinese). Using the reduced Google matrix algorithm, we determine relations and interactions of 23 society concepts and 17 religions represented by their respective articles for each of the eight editions. The effective Markov transitions are found to be more intense inside the two blocks of society concepts and religions while transitions between the blocks are significantly reduced. We establish five poles of influence for society concepts (Law, Society, Communism, Liberalism, Capitalism) as well as five poles for religions (Christianity, Islam, Buddhism, Hinduism, Chinese folk religion) and determine how they affect other entries. We compute inter-edition correlations for different key quantities providing a quantitative analysis of the differences or the proximity of views of the eight cultures with respect to the selected society concepts and religions.
Quantum cloning is a fundamental protocol of quantum information theory. Perfect universal quantum cloning is prohibited by the laws of quantum mechanics, only imperfect copies being reachable. Symmetric quantum cloning is concerned with case when the quality of the clones is identical. In this work, we study the general case of $1 \to N$ asymmetric cloning, where one asks for arbitrary qualities of the clones. We characterize, for all Hilbert space dimensions and number of clones, the set of all possible clone qualities. This set is realized as the nonnegative part of the unit ball of a newly introduced norm, which we call the $\mathcal{Q}$-norm. We also provide a closed form expression for the quantum cloner achieving a given clone quality vector. Our analysis relies on the Schur-Weyl duality and on the study of the spectral properties of partially transposed permutation operators.
In the quest for robust and universal quantum devices, the notion of simulation plays a crucial role, both from a theoretical and from an applied perspective. In this work, we go beyond the simulation of quantum channels and quantum measurements, studying what it means to simulate a collection of measurements, which we call a multimeter. To this end, we first explicitly characterize the completely positive transformations between multimeters. However, not all of these transformations correspond to valid simulations, as evidenced by the existence of maps that always prepare the same multimeter regardless of the input, which we call trash-and-prepare. We give a new definition of multimeter simulations as transformations that are triviality-preserving, i.e., when given a multimeter consisting of trivial measurements they can only produce another trivial multimeter. In the absence of a quantum ancilla, we then characterize the transformations that are triviality-preserving and the transformations that are trash-and-prepare. Finally, we use these characterizations to compare our new definition of multimeter simulation to three existing ones: classical simulations, compression of multimeters, and compatibility-preserving simulations.
We introduce the Ising Network Opinion Formation (INOF) model and apply it for the analysis of networks of 6 Wikipedia language editions. In the model, Ising spins are placed at network nodes/articles and the steady-state opinion polarization of spins is determined from the Monte Carlo iterations in which a given spin orientation is determined by in-going links from other spins. The main consideration is done for opinion confrontation between {\it capitalism, imperialism} (blue opinion) and {\it socialism, communism} (red opinion). These nodes have fixed spin/opinion orientation while other nodes achieve their steady-state opinions in the process of Monte Carlo iterations. We find that the global network opinion favors {\it socialism, communism} for all 6 editions. The model also determines the opinion preferences for world countries and political leaders, showing good agreement with heuristic expectations. We also present results for opinion competition between {\it Christianity} and {\it Islam}, and USA Democratic and Republican parties. We argue that the INOF approach can find numerous applications for directed complex networks.
Sujets
Ordinateur quantique
Semi-classique
Google matrix
PageRank algorithm
Decoherence
Chaotic systems
0545Mt
2DEG
Adaptive filters
Quantum chaos
Social networks
Information quantique
Fidelity
Critical phenomena
6470qj
Markov chains
Opinion formation
Atom laser
Community structure
Cloning
Anderson localization
Unfolding
Dark matter
Quantum denoiser
Quantum image processing
Poincare recurrences
Solar System
Adaptive transform
Quantum Physics quant-ph
Unitarity
ADMM
Duality
Chaos quantique
CheiRank
Chaos
Nonlinearity
Entanglement
2DRank algorithm
Interférence
Wigner crystal
Super-Resolution
Complex networks
Mécanique quantique
Dynamical chaos
Wikipedia networks
Amplification
Matrix model
Statistical description
Husimi function
PageRank
0375-b
7215Rn
Clonage
Localization
Asymmetry
Hilbert space
Random graphs
Many-body problem
Covariance
Wikipedia network
Chaotic dynamics
Structure
Plug-and-Play
Spin
2DEAG
World trade
International trade
Quantum computation
Semiclassical
Toy model
Numerical calculations
Algebra
Networks
Calcul quantique
Harper model
Directed networks
Entropy
Adaptive signal and image representation
Model
Qubit
Quantum denoising
Deep learning
Adaptive transformation
Random matrix theory
Quantum information
FOS Physical sciences
Random
ANDREAS BLUHM
Information theory
Adaptative denoiser
Correlation
Wikipedia
Quantum mechanics
Denoising
Quantum many-body interaction
Aubry transition
CheiRank algorithm
Disordered Systems and Neural Networks cond-matdis-nn
2DRank
World trade network