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

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

Director: Prof. Yukitoshi Motome

Thesis: Reservoirs of Insight: Harnessing and Probing Nature via Computational Paradigms (Outstanding Master Thesis Award)

 
 
 
 
 
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.

 
 
 
 
 
BOOST NAIS
University of Tokyo
August 2024 – March 2027
Advanced AI Talent Development to Lead the Next-Generation Intelligent Society (BOOST NAIS)
 
 
 
 
 
JSPS research fellowships for young scientists (DC1)
Japan Society for the Promotion of Science
April 2024 – July 2024
Research Fellowships for Young Scientists (DC1)
 
 
 
 
 
Mitou Target Program
Information-technology Promotion Agency, Japan (IPA)
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

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

Publications

Kaito Kobayashi, Keisuke Fujii, Naoki Yamamoto (2024). Feedback-driven quantum reservoir computing for time-series analysis. arXiv preprint arXiv:2406.15783.

PDF Cite DOI

Kaito Kobayashi, Yukitoshi Motome (2024). Quantum reservoir probing of quantum phase transitions. arXiv preprint arXiv:2402.07097.

PDF Cite DOI

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

PDF Cite DOI

Kaito Kobayashi, Yukitoshi Motome (2023). Quantum reservoir probing: an inverse paradigm of quantum reservoir computing for exploring quantum many-body physics. arXiv preprint arXiv:2308.00898.

PDF Cite DOI

Kaito Kobayashi, Yukitoshi Motome (2023). Thermally-robust spatiotemporal parallel reservoir computing by frequency filtering in frustrated magnets. Sci. Rep. 13, 15123.

PDF Cite Video DOI

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

PDF Cite DOI

Presentations

.js-id-international
International Domestic Seminar
量子リザバープロービングによるトポロジカル相転移の動的検出 @ 日物
Oral talk / Domestic conference / 日本物理学会第79回年次大会
Sep 16, 2024 北海道大学
小林海翔、 求幸年
Signatures of quantum phase transitions in local quench dynamics by quantum reservoir probing @ NFAM
Oral talk / International conference / NFAM 2024
Aug 8, 2024 Sapporo
Kaito Kobayashi and Yukitoshi Motome
Quantum reservoir probing for the detection of quantum phase transitions @ ICM
Oral talk / International conference / ICM2024
Jul 1, 2024 Bologna
Kaito Kobayashi and Yukitoshi Motome
Quantum reservoir probing:an inverse paradigm of reservoir computing for exploring quantum many-body physics @ Hatano lab.
Seminar at Hatano laboratory in UTokyo
May 22, 2024 UTokyo
Kaito Kobayashi
量⼦リザバープロービングを⽤いた量⼦相転移の動的検出 @ ISSP研究会
Poster presentation / Domestic conference / 計算物質科学の現在と未来
Apr 3, 2024 東京大学物性研
小林海翔、 求幸年
量子リザバープロービングによる量子相転移の解析 @ 日物
Oral talk / Domestic conference / 日本物理学会2024年春季大会
Mar 19, 2024 Online
小林海翔、 求幸年
量子リザバープロービングによる量子情報スクランブリングの解析 @ 日物
Oral talk / Domestic conference / 日本物理学会2024年春季大会
Mar 19, 2024 Online
小林海翔、 求幸年
Quantum reservoir probing of information propagation and scrambling @ APS
Oral talk / International conference / APS March Meeting 2024
Mar 5, 2024 Minneapolis
Kaito Kobayashi and Yukitoshi Motome
Quantum reservoir probing of nonequilibrium information propagation in diverse quantum systems @ OIST
Seminar at Theory of Quantum Matter Unit (Prof. Nic Shannon) in OIST
Feb 7, 2024 OIST
Kaito Kobayashi
Quantum reservoir probing of the spatiotemporal profile of information scrambling @ QIP
Poster presentation / International conference / QIP2024
Jan 15, 2024 Taipei
Kaito Kobayashi and Yukitoshi Motome
Quantum reservoir probing as a witness for information scrambling @ QIE
Oral talk / International conference / QIE2023
Oct 11, 2023 Okinawa
Kaito Kobayashi and Yukitoshi Motome
量子リザバープロービングによる情報の非局在化過程の解析 @ 応物
Oral talk / Domestic conference / 第84回応用物理学会秋季学術講演会
Sep 23, 2023 熊本城ホール他
小林海翔、 求幸年
磁性体物理リザバーコンピューティングの熱的堅牢性と時空間並列化 @ 日物
Oral talk / Domestic conference / 日本物理学会第78回年次大会
Sep 16, 2023 東北大学
小林海翔、 求幸年
Thermal robustness and spatiotemporal parallelization of physical reservoir computing in magnetic materials @ StatPhys
Oral talk / International conference / StatPhys28
Aug 10, 2023 Tokyo
Kaito Kobayashi and Yukitoshi Motome
Thermally-robust spatiotemporal parallel reservoir computing in magnetic materials @ SCES
Selected for the Best Poster Award / Poster presentation / International conference / SCES2023
Jul 5, 2023 Incheon
Kaito Kobayashi and Yukitoshi Motome
磁性体を用いたリザバーコンピューティングの熱的堅牢性と並列化 @ 応物
Oral talk / Domestic conference / 第70回応用物理学会春季学術講演会
Mar 18, 2023 東京理科大学
小林海翔、 求幸年
Skyrmion and vortex crystals in the Hubbard model @ APS
Oral talk / International conference / APS March Meeting 2023
Mar 8, 2023 Las Vegas
Kaito Kobayashi and Satoru Hayami
ハバード模型におけるスキルミオン相とメロン・アンチメロン相 @ 日物
Oral talk / Domestic conference / 日本物理学会2022年秋季大会
Sep 14, 2022 東京工業大学
小林海翔、 速水賢

Press, Patent, etc.

.js-id-japanese
Japanese English
マイナビニュース (2023年10月13日付), "東大、物理リザバーコンピューティングの課題を解決する動作原理を発見"
日刊工業新聞 (2023年10月11日付), "東大、極低温で超大規模並列計算　磁性体電子使い新手法"
PRESS RELEASE, University of Tokyo
日本経済新聞 (2023年10月10日付), "東大、電子のスピンを用いた人工ニューラルネットワークの新しい動作原理を発見"
東京大学大学院工学系研究科 プレスリリース, "電子のスピンを用いた人工ニューラルネットワークの 新しい動作原理を発見 ―AIハードウェア実現に向けたノイズに強い超大規模並列計算が可能に―"
東京大学大学院工学系研究科物理工学専攻 物工Pickup, "卒業生からのメッセージ"
Yukitoshi Motome and Kaito Kobayashi, Japanese Unexamined Patent Application Publication
特願 2023-025883「情報処理システム、情報処理方法およびプログラム」求 幸年、小林海翔（2023年2月22日出願）

Awards

Best Poster Award
MERIT-WINGS Sep 2024
Best Poster Award, MERIT Camp 2024
Outstanding Master Thesis Award
Department of Applied Physics, The University of Tokyo Feb 2024
Best Poster Award
SCES2023 Jul 2023
Best Poster Award, International Conference on Strongly Correlated Electron Systems 2023
Dean’s Award for Academic Excellence
School of Engineering, The University of Tokyo Mar 2022
Dean’s Award for Outstanding Research
School of Engineering, The University of Tokyo Mar 2022
Outstanding Bachelor Thesis Award
Department of Applied Physics, The University of Tokyo Mar 2022
Best Presentation Award
Department of Applied Physics, The University of Tokyo Oct 2021
Best Presentation Award, Advanced Seminar in Applied Physics

Experience

 
 
 
 
 
Visiting Student @ Technical University of Munich
Frank Pollmann group
September 2024 – December 2024
 
 
 
 
 
Teaching Assistant (Statistical Mechanics)
UTokyo
October 2023 – March 2024
 
 
 
 
 
Teaching Assistant (Exercises in Mathematics and Mechanics I)
UTokyo
October 2022 – March 2023
 
 
 
 
 
Internship @ Preferred Networks
Preferred Networks
August 2022 – September 2022
 
 
 
 
 
Part-time job @ SAS Institute Japan
SAS Institute Japan
June 2018 – July 2019

Contact

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