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  1. 研究報告
  2. 量子ソフトウェア(QS)
  3. 2021
  4. 2021-QS-002

Optimization of Quantum Computing Simulation with Gate Fusion

https://ipsj.ixsq.nii.ac.jp/records/210570
https://ipsj.ixsq.nii.ac.jp/records/210570
c339f76e-dda2-46f6-9939-5315cdb4f6f5
名前 / ファイル ライセンス アクション
IPSJ-QS21002023.pdf IPSJ-QS21002023.pdf (897.3 kB)
Copyright (c) 2021 by the Information Processing Society of Japan
オープンアクセス
Item type SIG Technical Reports(1)
公開日 2021-03-22
タイトル
タイトル Optimization of Quantum Computing Simulation with Gate Fusion
タイトル
言語 en
タイトル Optimization of Quantum Computing Simulation with Gate Fusion
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
IBM Quantum, IBM Research Tokyo
著者所属
IBM Quantum, IBM Research Tokyo
著者所属(英)
en
IBM Quantum, IBM Research Tokyo
著者所属(英)
en
IBM Quantum, IBM Research Tokyo
著者名 Hiroshi, Horii

× Hiroshi, Horii

Hiroshi, Horii

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Jun, Doi

× Jun, Doi

Jun, Doi

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著者名(英) Hiroshi, Horii

× Hiroshi, Horii

en Hiroshi, Horii

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Jun, Doi

× Jun, Doi

en Jun, Doi

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論文抄録
内容記述タイプ Other
内容記述 Memory to simulate quantum computing is exponentially increased based on qubits of a circuit and the entire memory is updated for simulation of each gate in a circuit to be simulated. For example, 32 GB memory is necessary to represent all the probability amplitudes with double-precision and all of them is updated for each gate. Aggregating multiple gates into a single unitary-matrix gate reduces load and store of memory. However, if an aggregated gate updates many qubits, memory access and calculation of intermediate state of matrix multiplication can become the bottleneck. We propose a method to efficiently aggregate gates with pattern-matchings, greedy algorithms, and a graph algorithm. Our gate fusion reduced gates of various quantum circuits of Qiskit and improved performance of their simulation.
論文抄録(英)
内容記述タイプ Other
内容記述 Memory to simulate quantum computing is exponentially increased based on qubits of a circuit and the entire memory is updated for simulation of each gate in a circuit to be simulated. For example, 32 GB memory is necessary to represent all the probability amplitudes with double-precision and all of them is updated for each gate. Aggregating multiple gates into a single unitary-matrix gate reduces load and store of memory. However, if an aggregated gate updates many qubits, memory access and calculation of intermediate state of matrix multiplication can become the bottleneck. We propose a method to efficiently aggregate gates with pattern-matchings, greedy algorithms, and a graph algorithm. Our gate fusion reduced gates of various quantum circuits of Qiskit and improved performance of their simulation.
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 2021-QS-2, 号 23, p. 1-7, 発行日 2021-03-22
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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