Item type |
SIG Technical Reports(1) |
公開日 |
2022-06-30 |
タイトル |
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タイトル |
Quantum circuit architectures via quantum observable Markov decision process planning |
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言語 |
en |
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タイトル |
Quantum circuit architectures via quantum observable Markov decision process planning |
言語 |
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言語 |
eng |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
著者所属 |
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Engineering Department, The University of Electro-Communications |
著者所属 |
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Engineering Department, The University of Electro-Communications/Grid Inc. |
著者所属 |
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Grid Inc. |
著者所属 |
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Grid Inc. |
著者所属 |
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Engineering Department, The University of Electro-Communications/i-PERC, The University of Electro-Communications |
著者所属 |
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Engineering Department, The University of Electro-Communications/Grid Inc./i-PERC, The University of Electro-Communications |
著者所属(英) |
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en |
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Engineering Department, The University of Electro-Communications |
著者所属(英) |
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en |
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Engineering Department, The University of Electro-Communications / Grid Inc. |
著者所属(英) |
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en |
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Grid Inc. |
著者所属(英) |
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en |
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Grid Inc. |
著者所属(英) |
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en |
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Engineering Department, The University of Electro-Communications / i-PERC, The University of Electro-Communications |
著者所属(英) |
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en |
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Engineering Department, The University of Electro-Communications / Grid Inc. / i-PERC, The University of Electro-Communications |
著者名 |
Tomoaki, Kimura
Kodai, Shiba
Chih-Chieh, Chen
Masaru, Sogabe
Katsuyoshi, Sakamoto
Tomah, Sogabe
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著者名(英) |
Tomoaki, Kimura
Kodai, Shiba
Chih-Chieh, Chen
Masaru, Sogabe
Katsuyoshi, Sakamoto
Tomah, Sogabe
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論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
Algorithms for designing quantum circuit architectures are important steps toward practical quantum computing technology. Applying agent-based artificial intelligence methods for quantum circuit design could improve the efficiency of quantum circuits. We propose a quantum observable Markov decision process planning algorithm for quantum circuit design. Our algorithm does not require state tomography, and hence has low readout sample complexity. Numerical simulations for entangled states preparation and energy minimization are demonstrated. The results show that the proposed method can be used to design quantum circuits to prepare the state and to minimize the energy. |
論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
Algorithms for designing quantum circuit architectures are important steps toward practical quantum computing technology. Applying agent-based artificial intelligence methods for quantum circuit design could improve the efficiency of quantum circuits. We propose a quantum observable Markov decision process planning algorithm for quantum circuit design. Our algorithm does not require state tomography, and hence has low readout sample complexity. Numerical simulations for entangled states preparation and energy minimization are demonstrated. The results show that the proposed method can be used to design quantum circuits to prepare the state and to minimize the energy. |
書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA12894105 |
書誌情報 |
量子ソフトウェア(QS)
巻 2022-QS-6,
号 11,
p. 1-4,
発行日 2022-06-30
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ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2435-6492 |
Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |