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  1. Can (quantum) information be sorted out from quantum mechanics?Michele Caponigro & Stefano Mancini - 2009 - NQ Journal.
    We shall draw an affirmative answer to the question posed in the title. The key point will be a quantum description of physical reality. Once fixed at ontic level two basic elements, namely the laws of physics and the matter, we argue that the underlying physical reality emerges from the interconnection between these two elements. We consider any physical process, including measurement, modeled by unitary evolution. In this context, we will deduce quantum random- ness as a consequence of inclusion of (...)
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  2.  48
    A probabilistic approach to quantum mechanics based on tomograms.Michele Caponigro, Stefano Mancini & Vladimir I. Man'ko - unknown
    It is usually believed that a picture of Quantum Mechanics in terms of true probabilities cannot be given due to the uncertainty relations. Here we discuss a tomographic approach to quantum states that leads to a probability representation of quantum states. This can be regarded as a classical-like formulation of quantum mechanics which avoids the counterintuitive concepts of wave function and density operator. The relevant concepts of quantum mechanics are then reconsidered and the epistemological implications of such approach discussed.
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    Classical-like description of quantum dynamics by means of symplectic tomography.Stefano Mancini, Vladimir I. Man'ko & Paolo Tombest - 1997 - Foundations of Physics 27 (6):801-824.
    The dynamical equations of quantum mechanics are rewritten in the form of dynamical equations for the measurable, positive marginal distribution of the shifted, rotated, and squeezed quadrature introduced in the so-called “symplectic tomography”. Then the possibility of a purely classical description of a quantum system as well as a reinterpretation of the quantum measurement theory is discussed and a comparison with the well-known quasi-probabilities approach is given. Furthermore, an analysis of the properties of this marginal distribution, which contains all the (...)
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