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  1. 研究報告
  2. 量子ソフトウェア(QS)
  3. 2023
  4. 2023-QS-010

Simultaneous Parameter Optimization for Variational Quantum Eigensolver

https://ipsj.ixsq.nii.ac.jp/records/228550
https://ipsj.ixsq.nii.ac.jp/records/228550
3f44d1ba-d8fa-413b-9ebb-7751bccc7ccc
名前 / ファイル ライセンス アクション
IPSJ-QS23010002.pdf IPSJ-QS23010002.pdf (918.7 kB)
Copyright (c) 2023 by the Information Processing Society of Japan
オープンアクセス
Item type SIG Technical Reports(1)
公開日 2023-10-19
タイトル
タイトル Simultaneous Parameter Optimization for Variational Quantum Eigensolver
タイトル
言語 en
タイトル Simultaneous Parameter Optimization for Variational Quantum Eigensolver
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18gh
資源タイプ technical report
著者所属
Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo
著者所属
Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo
著者所属(英)
en
Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo
著者所属(英)
en
Department of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo
著者名 Soshun, Naito

× Soshun, Naito

Soshun, Naito

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Yoshihiko, Hasegawa

× Yoshihiko, Hasegawa

Yoshihiko, Hasegawa

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著者名(英) Soshun, Naito

× Soshun, Naito

en Soshun, Naito

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Yoshihiko, Hasegawa

× Yoshihiko, Hasegawa

en Yoshihiko, Hasegawa

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論文抄録
内容記述タイプ Other
内容記述 In the Variational Quantum Eigensolver (VQE) algorithm, the sequential minimal optimization approach is known to be effective in reducing the number of energy evaluations [Nakanishi et al., Phys. Rev. Res., 2, 043158]. Since focusing on a small number of parameters simplifies the energy landscape, this approach can update the parameters to a local optimal solution after a few evaluations. However, it is practically difficult to handle a large number of parameters in a single step because the number of required evaluations grows exponentially. In this study, we estimate the number of evaluations required to update a set of commutative rotation gates simultaneously. In addition, we demonstrate that our method is applicable to a wide range of quantum gates and works efficiently in cases where fsim gates and multiplexed rotation gates are involved. These results provide valuable insights for designing quantum circuits suitable for sequential minimal optimization.
論文抄録(英)
内容記述タイプ Other
内容記述 In the Variational Quantum Eigensolver (VQE) algorithm, the sequential minimal optimization approach is known to be effective in reducing the number of energy evaluations [Nakanishi et al., Phys. Rev. Res., 2, 043158]. Since focusing on a small number of parameters simplifies the energy landscape, this approach can update the parameters to a local optimal solution after a few evaluations. However, it is practically difficult to handle a large number of parameters in a single step because the number of required evaluations grows exponentially. In this study, we estimate the number of evaluations required to update a set of commutative rotation gates simultaneously. In addition, we demonstrate that our method is applicable to a wide range of quantum gates and works efficiently in cases where fsim gates and multiplexed rotation gates are involved. These results provide valuable insights for designing quantum circuits suitable for sequential minimal optimization.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA12894105
書誌情報 研究報告量子ソフトウェア(QS)

巻 2023-QS-10, 号 2, p. 1-7, 発行日 2023-10-19
ISSN
収録物識別子タイプ ISSN
収録物識別子 2435-6492
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
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