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  Distributed Partial Quantum Consensus of Qubit Networks With Connected Topologies

Jin, X., Cao, Z., Tang, Y., & Kurths, J. (2024). Distributed Partial Quantum Consensus of Qubit Networks With Connected Topologies. IEEE Transactions on Cybernetics, 54(9), 4986-4997. doi:10.1109/TCYB.2024.3358905.

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資料種別: 学術論文

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 作成者:
Jin, Xin1, 著者
Cao, Zhu1, 著者
Tang, Yang1, 著者
Kurths, Jürgen2, 著者              
所属:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 要旨: In this article, we consider the partial quantum consensus problem of a qubit network in a distributed view. The local quantum operation is designed based on the Hamiltonian by using the local information of each quantum system in a network of qubits. We construct the unitary transformation for each quantum system to achieve the partial quantum consensus, that is, the directions of the quantum states in the Bloch ball will reach an agreement. A simple case of two-qubit quantum systems is considered first, and a minimum completing time of reaching partial consensus is obtained based on the geometric configuration of each qubit. Furthermore, we extend the approaches to deal with the more general N -qubit networks. Two partial quantum consensus protocols, based on the Lyapunov method for chain graphs and the geometry method for connected graphs, are proposed. The geometry method can be utilized to deal with more general connected graphs, while for the Lyapunov method, the global consensus can be obtained. The numerical simulation over a qubit network is demonstrated to verify the validity and the effectiveness of the theoretical results.

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言語: eng - 英語
 日付: 2024-02-192024-09-01
 出版の状態: Finally published
 ページ: -
 出版情報: -
 目次: -
 査読: 査読あり
 識別子(DOI, ISBNなど): DOI: 10.1109/TCYB.2024.3358905
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Machine Learning
 学位: -

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出版物 1

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出版物名: IEEE Transactions on Cybernetics
種別: 学術雑誌, SCI, Scopus
 著者・編者:
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出版社, 出版地: -
ページ: - 巻号: 54 (9) 通巻号: - 開始・終了ページ: 4986 - 4997 識別子(ISBN, ISSN, DOIなど): CoNE: https://publications.pik-potsdam.de/cone/journals/resource/transactions-on-cybernetics
Publisher: Institute of Electrical and Electronics Engineers (IEEE)