早川龍

ハヤカワリュウ | Hayakawa Ryu

所属機関・部署：
職名：白眉センター特定助教
ホームページURL (1件)： https://ryuhayakawa.github.io/

研究分野 (2件)：計算科学 , 数理物理、物性基礎

研究キーワード (5件)：量子計算トポロジー , トポロジカルデータ解析 , ハミルトニアン計算複雑性 , 量子アルゴリズム , 量子計算

競争的資金等の研究課題 (3件)：

論文 (1件)：

Quantum algorithm for persistent Betti numbers and topological data analysis. 2022. 6. 873-873

MISC (6件)：

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

講演・口頭発表等 (12件)：

Quantum Topological Data Analysis: Complexity, Algorithms, and the Quest for Quantum Advantage in Physics
(Data Analysis and Machine Learning for Physics Workshop 2026)
Computational complexity of Berry phase estimation in topological phases of matter
(Quantum Computing Theory in Practice (QCTiP) 2026)
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)

学歴 (2件)：

経歴 (1件)：

受賞 (2件)：

所属学会 (1件)：

日本物理学会

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早川 龍