Zobrazeno 1 - 10
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pro vyhledávání: '"Seker, Serhat"'
Autor:
Isman Okieh, Oubah1,2 (AUTHOR) ismanokieh20@itu.edu.tr, Seker, Serhat1 (AUTHOR), Gokce, Seckin3 (AUTHOR), Dennenmoser, Martin3 (AUTHOR)
Publikováno v:
Energies (19961073). Aug2024, Vol. 17 Issue 16, p3965. 21p.
Publikováno v:
In Sustainable Energy, Grids and Networks December 2023 36
A data classifier is the basic structural unit of an artificial neural network. These classifiers, known as perceptron, make an output prediction over the linear summation of the input information. Quantum versions of artificial neural networks are c
Externí odkaz:
http://arxiv.org/abs/1905.00293
We report that under some specific conditions a single qubit model weakly interacting with information environments can be referred to as a quantum classifier. We exploit the additivity and the divisibility properties of the completely positive (CP)
Externí odkaz:
http://arxiv.org/abs/1810.02261
In this study, we propose a spin-star model for spin-(1/2) particles in order to examine the coherence dynamics of a quantum neural network (QNN) unit. Since quantum computing paradigm promises advantages over their classical counterparts, quantum ve
Externí odkaz:
http://arxiv.org/abs/1806.07251
Autor:
Nasser Mohamed, Yasmin1,2 (AUTHOR) nassermohamed20@itu.edu.tr, Seker, Serhat1 (AUTHOR) sekers@itu.edu.tr, Akinci, Tahir Cetin1,3 (AUTHOR) tahircetin.akinci@ucr.edu
Publikováno v:
Information (2078-2489). Oct2023, Vol. 14 Issue 10, p540. 18p.
This study concerns with the dynamics of a quantum neural network unit in order to examine the suitability of simple neural computing tasks. More specifically, we examine the dynamics of an interacting spin model chosen as a candidate of a quantum pe
Externí odkaz:
http://arxiv.org/abs/1709.03276
Akademický článek
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Akademický článek
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Publikováno v:
Noise Mapping, Vol 7, Iss 1, Pp 14-20 (2020)
In this study, some measurements like the current, voltage and hydrogen flow based on the fuel cell are investigated in spectral-domain as well as their time-domain representations and then, their spectral properties are extracted. Besides this, taki
Externí odkaz:
https://doaj.org/article/d8e692416722409484d3014ef930388c