Ph.D. Depart of Mathematics, Kyoto University, 1996-1999
M.A. Depart of Mathematics, Kyoto University, 1994-1996
B.S. Physics & Mathematics, Kyoto University, 1990-1994

Masahito Hayashi was born in Japan in 1971. He received the B.S. degree from the Faculty of Sciences in Kyoto University, Japan, in 1994 and the M.S. and Ph.D. degrees in Mathematics from Kyoto University, Japan, in 1996 and 1999, respectively. He worked in Kyoto University as a Research Fellow of the Japan Society of the Promotion of Science (JSPS) from 1998 to 2000, and worked in the Laboratory for Mathematical Neuroscience, Brain Science Institute, RIKEN as a Researcher from 2000 to 2003. He worked in ERATO Quantum Computation and Information Project, Japan Science and Technology Agency (JST) as the Research Head from 2003 to 2006, and in ERATO-SORST Quantum Computation and Information Project, JST as a Group Leader from 2006 to 2007.

He also worked in the Superrobust Computation Project Information Science and Technology Strategic Core (21st Century COE by MEXT) Graduate School of Information Science and Technology, The University of Tokyo as an Adjunct Associate Professor from 2004 to 2007. He worked in the Graduate School of Information Sciences, Tohoku University as an Associate Professor from 2007 to 2012. In 2012, he joined the Graduate School of Mathematics, Nagoya University as a Full Professor. He worked in Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, China as a Chief Research Scientist from 2020 to 2023. In 2023, he joined School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) as a Presidential Chair Professor, and joined International Quantum Academy (SIQA) as a Chief Research Scientist.

He worked in Center for Advanced Intelligence Project, RIKEN as a Visiting Scientist from 2017 to 2020. He worked in Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, China as a Visiting Professor from 2018 to 2020, and in Center for Quantum Computing, Peng Cheng Laboratory, Shenzhen, China as a Visiting Professor from 2019 to 2020. In 2011, he received Information Theory Society Paper Award (2011) for ``Information-Spectrum Approach to Second-Order Coding Rate in Channel Coding''. In 2016, he received the Japan Academy Medal from the Japan Academy and the JSPS Prize from Japan Society for the Promotion of Science. In 2017, he was elected as an IEEE Fellow. In 2022, he was elected as an IMS Fellow. In 2022, he was elected as an Asia-Pacific Artificial Intelligence Association (AAIA) Fellow.

In 2006, he published the book “Quantum Information: An Introduction” from Springer, whose revised version was published as “Quantum Information Theory: Mathematical Foundation” from Graduate Texts in Physics, Springer in 2016. In 2016, he published other two books “Group Representation for Quantum Theory” and “A Group Theoretic Approach to Quantum Information” from Springer. He is on the Editorial Board of International Journal of Quantum Information. His research interests include classical and quantum information theory and classical and quantum statistical inference.

A. Books

1. M. Hayashi, Quantum Information Theory: Mathematical Foundation, Graduate Texts in Physics, Springer (2017). (First edition was published from Springer in 2006).

2. M. Hayashi, S. Ishizaka, A. Kawachi, G. Kimura, and T. Ogawa, Introduction to Quantum Information Science, Graduate Texts in Physics, Springer (2014). (Originally published from Kyoritsu Shuppan in 2012 with Japanese.)

3. M. Hayashi, Group Representation for Quantum Theory, Springer (2017). (Originally published from Kyoritsu Shuppan in 2014 with Japanese.)

4. M. Hayashi, A Group Theoretic Approach to Quantum Information, Springer (2017). (Originally published from Kyoritsu Shuppan in 2014 with Japanese.)

B. Journal articles

1. M. Hayashi and Y. Yang, “Efficient algorithms for quantum information bottleneck,” Quantum, 7, 936 (2023).

2. M. Hayashi and K. Wang, “Dense Coding with Locality Restriction on Decoders: Quantum Encoders vs. Super-Quantum Encoders,” PRX Quantum, 3, 030346 (2022).

3. M. Hayashi and A´. Va´zquez-Castro, “Physical Layer Security Protocol for Poisson Channels for Passive Man- in-the-middle Attack,” IEEE Transactions on Information Forensics and Security, Volume: 15, Issue: 1, 2295 – 2305 (2020).

4. M. Hayashi and H. Tajima, “Measurement-based formulation of quantum heat engine,” Physical Review A Vol.95, No.3, 032132 (2017).

5. M. Hayashi and S. Watanabe, “Information Geometry Approach to Parameter Estimation in Markov Chains,” Annals of Statistics, Volume 44, Number 4, 1495 – 1535 (2016).

6. M. Hayashi, “Fourier Analytic Approach to Quantum Estimation of Group Action,” Communications in Mathematical Physics, Volume 347, Nunber 1, 3 – 82 (2016).

7. M. Hayashi, T. Morimae, “Verifiable measurement-only blind quantum computing with stabilizer testing,” Phys. Rev. Lett., vol. 115, 220502 (2015).

8. M. Hayashi, “Precise evaluation of leaked information with secure randomness extraction in the presence of quantum attacker,” Communications in Mathematical Physics, Vol. 333, No. 1, 335 – 350 (2015).

9. M. Hayashi, and R. Nakayama, “Security analysis of the decoy method with the Bennett-Brassard 1984 protocol for finite key lengths,” New Journal of Physics, 16 063009 (2014). (This paper was selected in IOPselect.)

10. M. Tomamichel and M. Hayashi, “A Hierarchy of Information Quantities for Finite Block Length Analysis of Quantum Tasks,” IEEE Transactions on Information Theory, Vol. 59, No. 11, 7693 – 7710 (2013).

11. M. Hayashi, “Tight exponential analysis of universally composable privacy amplification and its applications,” IEEE Transactions on Information Theory, Vol. 59, No. 11, 7728 – 7746 (2013).

12. M. Hayashi and T. Tsurumaru, “Concise and tight security analysis of the Bennett-Brassard 1984 protocol with finite key lengths,” New Journal of Physics, Vol. 14, 093014 (2012).

13. M. Hayashi, “Comparison between the Cramer-Rao and the mini-max approaches in quantum channel estimation,” Communications in Mathematical Physics, Vol. 304, No. 3, 689–709 (2011).

14. M. Hayashi, “Exponential decreasing rate of leaked information in universal random privacy amplification,” IEEE Transactions on Information Theory, Vol. 57, No. 6, 3989–4001 (2011).

15. M. Hayashi, “Information spectrum approach to second-order coding rate in channel coding,” IEEE Transactions on Information Theory, Vol. 55, No. 11, 4947–4966 (2009). (This paper receives 2011 IEEE Information Theory Society Paper Award.)

16. M. Hayashi, “Discrimination of two channels by adaptive methods and its application to quantum system,” IEEE Transactions on Information Theory, Vol. 55, No. 8, 3807–3820 (2009).

17.M. Hayashi and K. Matsumoto, “Asymptotic performance of optimal state estimation in qubit system,” Journal of Mathematical Physics, Vol. 49, 102101 (2008).

18. M. Hayashi, “Prior entanglement between senders enables perfect quantum network coding with modification,” Physical Review A, Vol.76, 040301(R) (2007).

19. M. Hayashi, D. Markham, M. Murao, M. Owari, and S. Virmani, “Bounds on Multipartite Entangled Orthogonal State Discrimination Using Local Operations and Classical Communication,” Physical Review Letters, Vol.96, 040501, (2006).

20. M. Hayashi and H. Nagaoka, “General formulas for capacity of classical-quantum channels,” IEEE Transactions on Information Theory, Vol.49, No.7, pp.1753-1768 (2003).

A complete list of publications can be found at https://mhayashi.info/.