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Masahito Hayashi

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Masahito Hayashi
EducationKyoto University
OccupationProfessor of Data Science
AwardsJapan Academy Medal (2015)[1][2]
Scientific career
FieldsInformation Theory, Quantum information
WorkplacesThe Chinese University of Hong Kong
Kenji Ueno[3]
Websitemhayashi.info[4]

Masahito Hayashi is a Japanese professor[5] working on quantum statistical inference and quantum information theory.[6] He is known for his contributions to statistical inference for quantum systems,[2] quantum hypothesis testing, quantum resource theories,[7] and has published several books on the topics. Hayashi was a part of a team that reproved the generalized Quantum Stein's Lemma[8][9] which was published at roughly the same time as the proof by Ludovico Lami.[10]

Hayashi was named an IEEE fellow in 2017 for his contributions to Shannon theory, information-theoretic security, and quantum information theory.[11][12] Hayashi was selected to be a fellow of the Asia Pacific Artificial Intelligence Association in 2022,[13][14] the same year he became a fellow of the Institute of Mathematical Statistics.[15]

Books

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  • Asymptotic Theory Of Quantum Statistcial Inference: Selected Papers, 2005, World Scientific Publishing, doi:10.1142/5630
  • Quantum Computation and Information, 2006, Springer Berlin, Heidelberg, doi:10.1007/3-540-33133-6
  • Introduction to Quantum Information Science, 2014, Springer Berlin, Heidelberg, doi:10.1007/978-3-662-43502-1
  • Quantum Information Theory, 2017, Springer-Verlag, Heidelber, doi:10.1007/978-3-662-49725-8
  • Group Representation for Quantum Theory, 2017, Springer Cham, doi:10.1007/978-3-319-44906-7
  • A Group Theoretic Approach to Quantum Information, 2017, Springer Cham, doi:10.1007/978-3-319-45241-8

References

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  1. ↑ "Prof. Masahito Hayashi Selected to Receive AY2015 Japan Academy Medal". en.nagoya-u.ac.jp/. Nagoya University. Archived from the original on 14 December 2025. Retrieved 7 May 2026.
  2. 1 2 "Visiting Prof Masahito Hayashi claims high-profile Japanese science prizes". cqt.sg. Center For Quantum Technologies, Singapore. Archived from the original on 9 May 2026. Retrieved 9 May 2026.
  3. ↑ Hayashi, Masahito. "Masahito Hayashi CV" (PDF). mhayashi.info. Masahito Hayashi. Archived from the original (PDF) on 3 Feb 2026. Retrieved 9 May 2026.
  4. ↑ https://mhayashi.info/about.html
  5. ↑ Hayashi, Masahito. "HAYASHI, Masahito". sds.cuhk.edu.cn. The Chinese University of Hong Kong. Archived from the original on 22 Jan 2026. Retrieved 9 May 2026.
  6. ↑ Hayashi, Masahito. "Masahito Hayashi". mhayashi.info. Masahito Hayashi. Archived from the original on 22 February 2026. Retrieved 7 May 2026.
  7. ↑ "New Research on the Resource Theory of Quantum Channels | Shenzhen Institute for Quantum Science and Engineering". siqse.sustech.edu.cn. siqse.sustech.edu.cn/. Archived from the original on 18 Oct 2021. Retrieved 16 May 2026.
  8. ↑ Fadelli, Ingrid. "Physicists repair flaw of established quantum resource theorem". phys.org. Phys.org. Archived from the original on 1 Feb 2026. Retrieved 9 May 2026.
  9. ↑ Hayashi, Masahito; Yamasaki, Hayata (December 2025). "The generalized quantum Stein's lemma and the second law of quantum resource theories". Nature Physics. 21 (12): 1988–1993. arXiv:2408.02722. doi:10.1038/s41567-025-03047-9. Retrieved 9 May 2026.
  10. ↑ Lami, Ludovico (2025). "A Solution of the Generalized Quantum Stein's Lemma". IEEE Transactions on Information Theory. 71 (6): 4454–4484. arXiv:2408.06410. doi:10.1109/TIT.2025.3543610.
  11. ↑ "Prof. Masahito Hayashi Selected as IEEE Fellow | News & Events". Nagoya University. Archived from the original on March 11, 2026. Retrieved 10 August 2026.
  12. ↑ "2017 New Fellows". IEEE Japan Council. IEEE Japan Council. Archived from the original on May 22, 2025. Retrieved 10 August 2026.
  13. ↑ "International Academy of Artificial Intelligence Sciences". www.aaia-ai.org. p. 80. Retrieved 10 August 2026.
  14. ↑ "Researchers make progress on quantum dense coding with locality constraints on decoder | Shenzhen Institute for Quantum Science and Engineering". siqse.sustech.edu.cn. Retrieved 10 August 2026.
  15. ↑ "Institute of Mathematical Statistics | 2022 IMS Fellows Announced". imstat.org. Institute of Mathematical Statistics. Archived from the original on March 16, 2026. Retrieved 10 August 2026.
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