World's Best Scientists 2026 revealed!
Award Badge
Mathematics
Japan
2026

D-Index & Metrics

Mathematics

D-Index
58
Citations
11736
World Ranking
644
National Ranking
32

Engineering and Technology

D-Index
63
Citations
13471
World Ranking
1788
National Ranking
359

Research.com Recognitions

  • 2026 - Research.com Mathematics in Japan Leader Award
  • 2025 - Research.com Mathematics in Japan Leader Award

Overview

Masahito Hayashi is affiliated with Nagoya University in Japan and specializes in computer science, focusing extensively on quantum information and cryptography. Their research spans several interconnected subfields, including artificial intelligence, atomic and molecular physics and optics, electrical and electronic engineering, computer networks and communications, and computational theory and mathematics.

The scientist's primary research topics encompass quantum information and cryptography, quantum computing algorithms and architecture, quantum mechanics and applications, wireless communication security techniques, cooperative communication and network coding, cryptography and data security, and error correcting code techniques.

Masahito Hayashi has contributed to papers published in a variety of scientific venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • Quantum
  • IEEE Transactions on Communications
  • New Journal of Physics

Some recent papers featuring Masahito Hayashi's work or collaborations include:

  • "Application of the Resource Theory of Channels to Communication Scenarios," 2020, Physical Review Letters
  • "Quantum Secure Direct Communication with Private Dense Coding Using a General Preshared Quantum State," 2022, Physical Review Applied
  • "Physical Layer Security Protocol for Poisson Channels for Passive Man-in-the-Middle Attack," 2020, IEEE Transactions on Information Forensics and Security
  • "Capacity of Quantum Private Information Retrieval With Colluding Servers," 2021, IEEE Transactions on Information Theory
  • "Tight Exponential Analysis for Smoothing the Max-Relative Entropy and for Quantum Privacy Amplification," 2022, IEEE Transactions on Information Theory

Collaborations figure prominently in Hayashi's work, with frequent co-authors including:

  • Seunghoan Song
  • Hayato Arai
  • M. A. Vázquez-Castro
  • Ning Cai
  • Kun Wang

Best Publications

  • Quantum information

    Masahito Hayashi

  • Quantum information with Gaussian states

    Xiang-Bin Wang;Tohya Hiroshima;Akihisa Tomita;Masahito Hayashi

  • Information Spectrum Approach to Second-Order Coding Rate in Channel Coding

    M. Hayashi

  • General formulas for capacity of classical-quantum channels

    M. Hayashi;H. Nagaoka

  • A Hierarchy of Information Quantities for Finite Block Length Analysis of Quantum Tasks

    Marco Tomamichel;Masahito Hayashi

  • Quantum Information Theory

    Masahito Hayashi

  • Exponential Decreasing Rate of Leaked Information in Universal Random Privacy Amplification

    M Hayashi

  • General nonasymptotic and asymptotic formulas in channel resolvability and identification capacity and their application to the wiretap channel

    M. Hayashi

  • Bounds on multipartite entangled orthogonal state discrimination using local operations and classical communication.

    M. Hayashi;D. Markham;M. Murao;M. Murao;M. Owari

  • Asymptotic theory of quantum statistical inference : selected papers

    Masahito Hayashi

  • Optimal sequence of quantum measurements in the sense of Stein's lemma in quantum hypothesis testing

    Masahito Hayashi

  • An Information-Spectrum Approach to Classical and Quantum Hypothesis Testing for Simple Hypotheses

    H. Nagaoka;M. Hayashi

  • Error exponent in asymmetric quantum hypothesis testing and its application to classical-quantum channel coding

    Masahito Hayashi

  • Prior entanglement between senders enables perfect quantum network coding with modification

    Masahito Hayashi

  • Verifiable Measurement-Only Blind Quantum Computing with Stabilizer Testing

    Masahito Hayashi;Tomoyuki Morimae

  • Second-Order Asymptotics in Fixed-Length Source Coding and Intrinsic Randomness

    M. Hayashi

  • Quantum network coding

    Masahito Hayashi;Kazuo Iwama;Harumichi Nishimura;Rudy Raymond

  • Discrimination of Two Channels by Adaptive Methods and Its Application to Quantum System

    M. Hayashi

  • On error exponents in quantum hypothesis testing

    T. Ogawa;M. Hayashi

  • Upper bounds of eavesdropper’s performances in finite-length code with the decoy method

    Masahito Hayashi

  • Quantum Information: An Introduction

    Masahito Hayashi

Frequent Co-Authors

Vincent Y. F. Tan
Vincent Y. F. Tan National University of Singapore
Marco Tomamichel
Marco Tomamichel National University of Singapore
Akihisa Tomita
Akihisa Tomita Hokkaido University
Ritsu Kamiya
Ritsu Kamiya University of Tokyo
Kazuo Iwama
Kazuo Iwama Kyoto University
Mario Berta
Mario Berta RWTH Aachen University
Hiroshi Imai
Hiroshi Imai University of Tokyo
Matthieu R. Bloch
Matthieu R. Bloch Georgia Institute of Technology
Ken-ichi Kitayama
Ken-ichi Kitayama Osaka University
Mikio Fujiwara
Mikio Fujiwara National Institute of Information and Communications Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those studying Mathematics in the USA, exploring related online degrees can open up diverse career opportunities. A master in data analytics complements a strong mathematical foundation, offering skills in data interpretation and decision-making that are highly sought after in industries like finance, technology, and healthcare.

Alternatively, professionals aiming to blend analytical skills with business acumen might consider pursuing an MBA. There are numerous mba programs easy to get into that offer flexibility for working students. For those prioritizing convenience, discovering the easiest online mba programs can provide a balance between rigorous education and manageable coursework.

For senior-level professionals interested in leadership and organizational strategy, online DBA programs are a viable path. Exploring the cheapest dba online options can make this advanced degree more accessible without compromising quality.

Choosing the right degree pathway depends on career goals, time commitment, and budget. By understanding the landscape of online programs linked to a mathematics background, students can make informed decisions that enhance both knowledge and employability.

Best Scientists Citing Masahito Hayashi

Trending Scientists

Recently Published Articles