Kaito Kobayashi

Kaito Kobayashi

Graduate student

Motome group, Univ. of Tokyo

About me

Kaito Kobayashi is a first year Ph.D. student in Motome group, Department of Applied Physics, the University of Tokyo. His research focuses on the application of quantum information concepts to quantum many-body systems, with the goal of advancing our understanding of quantum physics.

東京大学工学系研究科物理工学専攻求研究室博士1年の小林海翔です。物性物理と情報科学の境界領域に興味を持って理論的に研究しています。

Interests
  • Quantum reservoir probing
  • Quantum information scrambling
  • Quantum phase transition
  • Reservoir computing
Education
  • Doctor of Engineering, 2024 - present

    Department of Applied Physics, The University of Tokyo

  • Master of Engineering, 2022 - 2024

    Department of Applied Physics, The University of Tokyo

  • Bachelor of Engineering, 2018 - 2022

    Department of Applied Physics, The University of Tokyo

Vita

 
 
 
 
 
Department of Applied Physics, The University of Tokyo
Doctor of Engineering
Department of Applied Physics, The University of Tokyo
April 2024 – Present Tokyo
Director: Prof. Yukitoshi Motome
 
 
 
 
 
Department of Applied Physics, The University of Tokyo
Master of Engineering
Department of Applied Physics, The University of Tokyo
April 2022 – Present Tokyo

Director: Prof. Yukitoshi Motome

Thesis: Reservoirs of Insight: Harnessing and Probing Nature via Computational Paradigms [Outstanding Master Thesis Award]

 
 
 
 
 
Department of Applied Physics, The University of Tokyo
Bachelor of Engineering
Department of Applied Physics, The University of Tokyo
April 2018 – March 2022 Tokyo

Director: Prof. Eiji Saitoh

Thesis: 逆スピンホール効果による磁化状態トモグラフィ (Magnetization state tomography by inverse spin-Hall effect) [Outstanding Bachelor Thesis Award]

Fellowships, etc.

 
 
 
 
 
Japan Society for the Promotion of Science
JSPS research fellowshipts for young scientists (DC1)
April 2024 – March 2027
 
 
 
 
 
Information-technology Promotion Agency, Japan (IPA)
Mitou Target Program
June 2023 – February 2024

Research project for the development of a fast machine learning method based on quantum reservoir computing

Project Manager: Prof. Naoki Yamamoto

 
 
 
 
 
University of Tokyo
MERIT-WINGS
October 2022 – March 2027
World-leading Innovative Graduate Study program for Materials Research, Information, and Technology (MERIT-WINGS)
 
 
 
 
 
Nakatani Foundation
Nakatani RIES
April 2020 – March 2021
International research internship at Georgia Institute of Technology (online)
 
 
 
 
 
Iizuka Takeshi Scholarship Foundation
Iizuka Takeshi Scholarships
April 2018 – March 2022

Publications

See all publications here.
(2024). Quantum reservoir probing of quantum phase transitions. arXiv preprint arXiv:2402.07097.

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(2023). Video Recognition by Physical Reservoir Computing in Magnetic Materials. New Phys.: Sae Mulli 73, 1155. [Proceedings of SCES 2023].

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(2023). Quantum reservoir probing of quantum information scrambling. arXiv preprint arXiv:2308.00898.

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(2022). Skyrmion and vortex crystals in the Hubbard model. Phys. Rev. B 106, L140406.

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Presentations

See all presentations here.
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Awards

Outstanding Master Thesis Award
Best Poster Award
Best Poster Award, International Conference on Strongly Correlated Electron Systems 2023
Dean’s Award for Academic Excellence
Dean’s Award for Outstanding Research
Outstanding Bachelor Thesis Award
Best Presentation Award
Best Presentation Award, Advanced Seminar in Applied Physics

Contact

  • kaito-kobayashi92[!αΤ!]g.ecc.u-tokyo.ac.jp
  • 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656
  • Faculty of Engineering Bldg.6