V
Vladimir I. Man’ko
Researcher at Moscow Institute of Physics and Technology
Publications - 680
Citations - 14719
Vladimir I. Man’ko is an academic researcher from Moscow Institute of Physics and Technology. The author has contributed to research in topics: Quantum state & Probability distribution. The author has an hindex of 53, co-authored 665 publications receiving 13825 citations. Previous affiliations of Vladimir I. Man’ko include Lebedev Physical Institute & Tomsk State University.
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Tomographic Discord and Quantum Correlations in a System of Qubits
TL;DR: In this article, the difference in quantum mutual information for a bipartite system of qubits and the minimum taken with respect to the local unitary transformation group was introduced as a characteristic of quantum correlations of the system tomographic mutual information.
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The maps of matrices and portrait maps of density operators of composite and noncomposite systems
TL;DR: In this paper, the matrix portrait of arbitrary NxN matrices is described as an analog of the partial tracing of density matrices of multipartite qudit systems, and the structure of the maps is inspired by "portrait" map of the probability vectors corresponding to the action on the vectors by stochastic matrices containing either unity or zero matrix elements.
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Probability Distributions and Hilbert Spaces: Quantum and Classical Systems
TL;DR: In this article, the authors use the fact that some linear Hamiltonian systems can be considered as "finite level" quantum systems, and the description of quantum mechanics in terms of probabilities, to associate probability distributions with this particular class of linear Hamiltonians.
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Bell's inequality for two-particle mixed spin states
TL;DR: In this paper, the authors derived the Bell-Clauser-Horne-Shimony-Holt inequalities for two-particle mixed spin states both in the conventional quantum mechanics and in the hidden-variables theory, and showed that the difference between the predictions of the two theories is less for mixed states than for pure states.
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On pseudo-stochastic matrices and pseudo-positive maps
TL;DR: In this paper, the notion of pseudo-stochastic matrices and pseudo-positive maps are introduced and compared to the semigroup property of stochastic and positive matrices.