Rchr
J-GLOBAL ID：202001015393386413
Update date: Oct. 26, 2024
Mitarai Kosuke
ミタライ コウスケ | Mitarai Kosuke
Affiliation and department：
Research theme for competitive and other funds (4)：
- 2023 - 2026 Designing quantum circuits for computational materials science
- 2020 - 2023 量子計算における低レイヤータスク分割技術の構築
- 2020 - 2022 Development of parameter optimization strategies of quantum circuits for ab-initio calculations
- 2019 - 2021 古典 - 量子ハイブリッドアルゴリズムの実験実証とその核スピン超偏極への応用
Papers (43)：
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Kazuki Sakamoto, Hayata Morisaki, Junichi Haruna, Etsuko Itou, Keisuke Fujii, Kosuke Mitarai. End-to-end complexity for simulating the Schwinger model on quantum computers. Quantum. 2024. 8. 1474-1474
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Norihito Shirai, Kenji Kubo, Kosuke Mitarai, Keisuke Fujii. Quantum tangent kernel. Physical Review Research. 2024. 6. 3. 033179
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Yuichiro Nakano, Hideaki Hakoshima, Kosuke Mitarai, Keisuke Fujii. Markov-chain Monte Carlo method enhanced by a quantum alternating operator ansatz. Physical Review Research. 2024. 6. 3. 033105
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Tsubasa Ichikawa, Hideaki Hakoshima, Koji Inui, Kosuke Ito, Ryo Matsuda, Kosuke Mitarai, Koichi Miyamoto, Wataru Mizukami, Kaoru Mizuta, Toshio Mori, et al. Current numbers of qubits and their uses. Nature Reviews Physics. 2024. 6. 345-347
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Kohei Morimoto, Yusuke Takase, Kosuke Mitarai, Keisuke Fujii. Continuous optimization by quantum adaptive distribution search. Physical Review Research. 2024. 6. 2. 023191
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MISC (21)：
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Hitomi Mori, Kosuke Mitarai, Keisuke Fujii. Efficient state preparation for multivariate Monte Carlo simulation. 2024
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Akimoto Nakayama, Hayata Morisaki, Kosuke Mitarai, Hiroshi Ueda, Keisuke Fujii. Explicit quantum surrogates for quantum kernel models. 2024
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Don Arai, Ken N. Okada, Yuichiro Nakano, Kosuke Mitarai, Keisuke Fujii. Scalable circuit depth reduction in feedback-based quantum optimization with a quadratic approximation. 2024
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Kosuke Mitarai. Machine learning assisted by quantum computers. 2024. 93. 1. 19-23
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Yusei Mori, Hideaki Hakoshima, Kyohei Sudo, Toshio Mori, Kosuke Mitarai, Keisuke Fujii. Quantum Circuit Unoptimization. 2023
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Patents (7)：
Books (1)：
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量子コンピュータによる機械学習
共立出版 2020 ISBN:9784320124622
Lectures and oral presentations (100)：
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Efficient state preparation for multivariate Monte Carlo simulation
(TQC 2024 - Theory of Quantum Computation, Communication, and Cryptography 2024)
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Enhancing performance of feedback-type quantum optimization algorithms based on second-order approximation
(11th Quantum Software Research Meeting 2024)
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Quantum-classical hybrid algorithm to construct quantum explicit models from quantum kernel methods
(APS March Meeting 2024 2024)
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End-to-end complexity for simulating the Schwinger model on quantum computers
(APS March Meeting 2024 2024)
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ロバスト最適化された動的デカップリングの超伝導量子ビットでの実装
(第49回量子情報技術研究会 (QIT49) 2023)
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Education (2)：
- 2017 - 2020 Osaka University Graduate School of Engineering Science Department of Systems Innovation Division of Advanced Electronics and Optical Science
- 2015 - 2017 Osaka University School of Engineering Science
Professional career (1)：
Work history (3)：
- 2023/09 - 現在 Osaka University Graduate School of Engineering Science Associate Professor
- 2020/04 - 2023/09 Osaka University Graduate School of Engineering Science Assistant Professor
- 2019/04 - 2020/03 Japan Society for the Promotion of Science Research Fellowship for Young Scientists
Committee career (3)：
- 2023/04 - 現在 量子ソフトウェア研究会 運営委員
- 2024/06 - 2027/06 PRXQuantum Editorial board
- 2021/03 - 内閣府 若者円卓会議
Awards (3)：
- 2022/05 - Forbes 30 Under 30 Asia List 2022
- 2021/02 - MIT Technology Review Innovators Under 35 Japan
- 2020/06 - 第41回量子情報技術研究会 (QIT41) 学生発表賞
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