24 Temmuz 2023 Ön baskı Açık Erişim

Aygül, Ekin Erdem; Topal, Melih Can; Korkmaz, Ufuk; Türkpençe, Deniz

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        "affiliation": "\u0130stanbul Teknik \u00dcniversitesi", 
        "name": "Ayg\u00fcl, Ekin Erdem"
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      {
        "affiliation": "\u0130stanbul Teknik \u00dcniversitesi", 
        "name": "Topal, Melih Can"
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      {
        "affiliation": "\u0130stanbul Teknik \u00dcniversitesi", 
        "name": "Korkmaz, Ufuk", 
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        "affiliation": "\u0130stanbul Teknik \u00dcniversitesi", 
        "name": "T\u00fcrkpen\u00e7e, Deniz", 
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    "description": "<p>Significant progress in the construction of physical hardware for quantum computers has necessitated the development of new algorithms or protocols for the application of real-world problems on quantum computers. One of these problems is the power flow problem, which helps us understand the generation, distribution, and consumption of electricity in a system. In this study, the solution of a balanced 4-bus power system supported by the Newton-Raphson method is investigated using a newly developed dissipative quantum neural network hardware. This study presents the findings on how the proposed quantum network can be applied to the relevant problem and how the solution performance varies depending on the network parameters.</p>", 
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    "keywords": [
      "quantum neuron", 
      "information reservoir", 
      "collisional model", 
      "training and learning"
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      "acronym": "ICECET 2023", 
      "dates": "16\u201317 Kas\u0131m 2023", 
      "place": "Cape Town, South Africa", 
      "session": "D-IV", 
      "session_part": "Mixed - I", 
      "title": "International Conference on Electrical, Computer, and Energy Technologies", 
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      "Teknik Bilimler > Elektrik-Elektronik M\u00fchendisli\u011fi"
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    "title": "Application of Power Flow problem to an open quantum neural hardware", 
    "tubitak_grants": [
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        "program": "3501", 
        "project_number": "120F353", 
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