Rchr
J-GLOBAL ID：202301005333182360
Update date: May. 08, 2026
Hayakawa Ryu
ハヤカワ リュウ | Hayakawa Ryu
Affiliation and department：
Job title：
Assistant professor
Homepage URL (1)：
https://ryuhayakawa.github.io/
Research field (2)：
Computational science
, Mathematical physics and basic theory
Research keywords (5)：
Quantum computational topology
, Topological data analysis
, Hamiltonian complexity
, Quantum algorithm
, Quantum computing
Research theme for competitive and other funds (3)：
- 2021 - 2026 理論物理学のための量子情報理論基礎
- 2024 - 2026 量子位相的機械学習法の開発と計算複雑性の解析
- 2023 - 2024 初期の量子計算機に向けた量子アルゴリズムの統合的な研究
Papers (1)：
-
Ryu Hayakawa. Quantum algorithm for persistent Betti numbers and topological data analysis. Quantum. 2022. 6. 873-873
MISC (6)：
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Ryu Hayakawa, Casper Gyurik, Mahtab Yaghubi Rad, Vedran Dunjko. Computational complexity of the homology problem with orientable filtration: MA-completeness. 2025
-
Ryu Hayakawa, Kazuki Sakamoto, Chusei Kiumi. Computational complexity of Berry phase estimation in topological phases of matter. 2025
-
Casper Gyurik, Alexander Schmidhuber, Robbie King, Vedran Dunjko, Ryu Hayakawa. Quantum computing and persistence in topological data analysis. 2024
-
Ryu Hayakawa, Kuo-Chin Chen, Min-Hsiu Hsieh. Quantum Walks on Simplicial Complexes and Harmonic Homology: Application to Topological Data Analysis with Superpolynomial Speedups. 2024
-
Chris Cade, Marten Folkertsma, Sevag Gharibian, Ryu Hayakawa, François Le Gall, Tomoyuki Morimae, Jordi Weggemans. Improved Hardness Results for the Guided Local Hamiltonian Problem. 2022
ｍore...
Lectures and oral presentations (12)：
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Quantum Topological Data Analysis: Complexity, Algorithms, and the Quest for Quantum Advantage in Physics
(Data Analysis and Machine Learning for Physics Workshop 2026)
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Ryu Hayakawa, Kazuki Sakamoto, Chusei Kiumi
(2026)
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Computational complexity of the persistence of homology problem with orientable filtration: MA-completeness
(29th Annual Quantum Information Processing Conference (QIP 2026) 2026)
-
Computational complexity of Berry phase estimation in topological phases of matter
(29th Annual Quantum Information Processing Conference (QIP 2026) 2026)
-
Quantum computing and persistence in TDA
(Quantum Techniques in Machine Learning (QTML) 2025 2025)
ｍore...
Education (2)：
- 2021 - 2024 Kyoto University Graduate School of Science Division of Physics and Astronomy
- 2019 - 2021 Kyoto University Graduate School of Science Division of Physics and Astronomy
Work history (1)：
- 2024/04 - 現在 Kyoto University
Awards (2)：
- 2020/08 - 日本物理学会 日本物理学会学生優秀発表賞
- 電子情報通信学会 量子情報技術特別研究専門委員会 第41回量子情報技術研究会 学生発表賞
Association Membership(s) (1)：
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