Application of Power Flow Problem to an Open Quantum Neural Hardware

Ekin Erdem Aygül; Melih Can Topal; Ufuk Korkmaz; Deniz Türknence

doi:10.1109/ICECET58911.2023.10389382

Application of Power Flow Problem to an Open Quantum Neural Hardware

Ekin Erdem Aygül
, Melih Can Topal
, Ufuk Korkmaz
, Deniz Türknence

Elektrik Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	International Conference on Electrical, Computer and Energy Technologies, ICECET 2023
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9798350327816
DOI'lar	https://doi.org/10.1109/ICECET58911.2023.10389382
Yayın durumu	Yayınlandı - 2023
Etkinlik	2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023 - Cape Town, South Africa Süre: 16 Kas 2023 → 17 Kas 2023

Yayın serisi

Adı	International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023
Ülke/Bölge	South Africa
Şehir	Cape Town
Periyot	16/11/23 → 17/11/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Belgeye Erişim

10.1109/ICECET58911.2023.10389382

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Aygül, E. E., Topal, M. C., Korkmaz, U., & Türknence, D. (2023). Application of Power Flow Problem to an Open Quantum Neural Hardware. In International Conference on Electrical, Computer and Energy Technologies, ICECET 2023 (International Conference on Electrical, Computer and Energy Technologies, ICECET 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECET58911.2023.10389382

Aygül, Ekin Erdem ; Topal, Melih Can ; Korkmaz, Ufuk et al. / Application of Power Flow Problem to an Open Quantum Neural Hardware. International Conference on Electrical, Computer and Energy Technologies, ICECET 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (International Conference on Electrical, Computer and Energy Technologies, ICECET 2023).

@inproceedings{565a09c0fc794eec906212e958306a05,

title = "Application of Power Flow Problem to an Open Quantum Neural Hardware",

abstract = "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.",

keywords = "collisional model, information reservoir, quantum neuron, training and learning",

author = "Ayg{\"u}l, \{Ekin Erdem\} and Topal, \{Melih Can\} and Ufuk Korkmaz and Deniz T{\"u}rknence",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023 ; Conference date: 16-11-2023 Through 17-11-2023",

year = "2023",

doi = "10.1109/ICECET58911.2023.10389382",

language = "English",

series = "International Conference on Electrical, Computer and Energy Technologies, ICECET 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "International Conference on Electrical, Computer and Energy Technologies, ICECET 2023",

address = "United States",

}

Aygül, EE, Topal, MC, Korkmaz, U & Türknence, D 2023, Application of Power Flow Problem to an Open Quantum Neural Hardware. in International Conference on Electrical, Computer and Energy Technologies, ICECET 2023. International Conference on Electrical, Computer and Energy Technologies, ICECET 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023, Cape Town, South Africa, 16/11/23. https://doi.org/10.1109/ICECET58911.2023.10389382

Application of Power Flow Problem to an Open Quantum Neural Hardware. / Aygül, Ekin Erdem; Topal, Melih Can; Korkmaz, Ufuk et al.
International Conference on Electrical, Computer and Energy Technologies, ICECET 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (International Conference on Electrical, Computer and Energy Technologies, ICECET 2023).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Application of Power Flow Problem to an Open Quantum Neural Hardware

AU - Aygül, Ekin Erdem

AU - Topal, Melih Can

AU - Korkmaz, Ufuk

AU - Türknence, Deniz

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - collisional model

KW - information reservoir

KW - quantum neuron

KW - training and learning

UR - https://www.scopus.com/pages/publications/85187297138

U2 - 10.1109/ICECET58911.2023.10389382

DO - 10.1109/ICECET58911.2023.10389382

M3 - Conference contribution

AN - SCOPUS:85187297138

T3 - International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

BT - International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

Y2 - 16 November 2023 through 17 November 2023

ER -

Aygül EE, Topal MC, Korkmaz U, Türknence D. Application of Power Flow Problem to an Open Quantum Neural Hardware. In International Conference on Electrical, Computer and Energy Technologies, ICECET 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (International Conference on Electrical, Computer and Energy Technologies, ICECET 2023). doi: 10.1109/ICECET58911.2023.10389382

Application of Power Flow Problem to an Open Quantum Neural Hardware

Özet

Yayın serisi

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Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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