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WAVE COMPOSITION RULES IN QUANTUM SYSTEM THEORY

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00348854" target="_blank" >RIV/68407700:21260/20:00348854 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21730/20:00348854

  • Result on the web

    <a href="https://doi.org/10.14311/NNW.2020.30.004" target="_blank" >https://doi.org/10.14311/NNW.2020.30.004</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.14311/NNW.2020.30.004" target="_blank" >10.14311/NNW.2020.30.004</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    WAVE COMPOSITION RULES IN QUANTUM SYSTEM THEORY

  • Original language description

    The paper presents the new approach to wave composition rules for advanced modeling of soft systems in quantum system theory. Firstly, the interpretation of phase parameters is given. The phase parameters are essential to specify the mathematical operations assigned to different relations among subsystems, e.g. co-operation, connection, co-existence, competition. Using wave composition rules, we are able to create more complex and sophisticated quantum circuits. We present the application of methodology on three illustrative examples.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF15_003%2F0000466" target="_blank" >EF15_003/0000466: Artificial Intelligence and Reasoning</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Neural Network World

  • ISSN

    1210-0552

  • e-ISSN

  • Volume of the periodical

    30

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    10

  • Pages from-to

    55-64

  • UT code for WoS article

    000572849400004

  • EID of the result in the Scopus database

    2-s2.0-85093981085