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    Quantized Detector Networks

    The Theory of Observation

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    Author(s)
    Jaroszkiewicz, George
    Collection
    SCOAP3 for Books
    Language
    English
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    Abstract
    Scientists have been debating the meaning of quantum mechanics for more than a century. This book for graduate students and researchers gets to the root of the problem: how the contextual nature of empirical truth and the laws of observation impact on our understanding of quantum physics. Bridging the gap between non-relativistic quantum mechanics and quantum field theory, this novel approach to quantum mechanics extends the standard formalism to cover the observer and their apparatus. The author demystifies some of the aspects of quantum mechanics that have traditionally been regarded as extraordinary, such as wave-particle duality and quantum superposition, emphasizing the scientific principles rather than the mathematical modelling. Including key experiments and worked examples throughout, the author encourages the reader to focus on empirically sound concepts and avoid metaphysical speculation.
    URI
    https://library.oapen.org/handle/20.500.12657/64014
    Keywords
    classical bits; quantum bits; classical and quantum registers; classical register mechanics; quantum register dynamics; partial observations; mixed states; POVMs; double-slit experiments; modules; computer algebra; interferometers; quantum eraser experiments; particle decays; non-locality; Bell inequalities; temporal correlations; Franson experiment; self-intervening networks; separability and entanglement; causal sets; oscillators; dynamical theory of observation
    DOI
    10.1017/9781009401432
    ISBN
    9781009401432, 9781009401432
    Publisher
    Cambridge University Press
    Publication date and place
    2017
    Grantor
    • SCOAP3 - [...]
    Classification
    Nuclear physics
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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