Vladimir I. Man’ko
Moscow Institute of Physics and Technology
681 Papers
2.6K Citations
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. Previous affiliations of Vladimir I. Man’ko include Lebedev Physical Institute & Tomsk State University.
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Papers
Hidden Quantum Correlations in Single Qudit Systems
TL;DR: The notion of hidden quantum correlations was introduced in this paper, where the mean values of observables depending on one classical random variable described by the probability distribution in the form of correlation functions of two (three, etc.) random variables described by corresponding joint probability distributions was introduced.
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``Classical'' Propagator and Path Integral in the Probability Representation of Quantum Mechanics
TL;DR: In this article, an explicit expression for the transition probability distribution in terms of the quantum propagator was derived for the classical propagator in the context of the optical tomography approach.
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Wigner Functions and Spin Tomograms for Qubit States
Peter Adam,Vladimir A. Andreev,Iulia Ghiu,Aurelian Isar,Margarita A. Man'ko,Vladimir I. Man’ko +5 more
TL;DR: In this paper, the relation of the spin tomogram to the Wigner function on a discrete phase space of qubits was established, using the quantizers and dequantizers of spin tomographic star-product schemes for qubits.
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Statistical properties of Schrödinger real and imaginary cat states
TL;DR: In this paper, the photon statistics in superpositions of coherent states |α| and |α ∗ ∗ 〉 named ''Schrodinger real and im cat states'' were studied.
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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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