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.
Papers
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Entropic and information inequality for nonlinearly transformed two-qubit X-states
TL;DR: In this article, the authors studied the influence of a nonlinear channel acting on the X-state of a two-qubit system onto the von Neumann mutual information, and showed that the information increases due to the action of the non-linear channel.
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MuSR method and tomographic-probability representation of spin states
TL;DR: In this paper, a relation between experimental MuSR histograms and muon spin tomograms is established, and the entanglement phenomenon of a bipartite muon-electron system is investigated, in view of the tomographic analogs of the Bell number and the positive partial transpose (PPT) criterion.
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Realization of associative products in terms of Moyal and tomographic symbols
Alberto Ibort,Vladimir I. Man’ko,Giuseppe Marmo,Andrea Simoni,Cosimo Stornaiolo,Franco Ventriglia +5 more
TL;DR: The answer is positive in finite dimensions and the authors give a few examples in infinite dimensions of the quantizer–dequantizer framework.
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Tomographic entropy for spin systems
TL;DR: In this article, the properties of spin tomograms and tomographic entropy and information were studied and the specific structure of joint probability distributions of standard probability theory were compared with the spin-tomogram properties for two-qubits.
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Standard quantum mechanics featuring probabilities instead of wave functions
TL;DR: In this paper, a new formulation of quantum mechanics (probability representation) is discussed, in which a quantum state is described by a standard positive definite probability distribution (tomogram) rather than by a wave function.