Tomiya Akio 富谷昭夫

Researcher Number	50837185
Other IDs	https://orcid.org/0000-0001-9374-3716
Affiliation (Current)	2024: 東京女子大学, 現代教養学部, 講師
Affiliation (based on the past Project Information) *help	2024: 東京女子大学, 現代教養学部, 講師 2021 – 2023: 大阪国際工科専門職大学, 工科学部, 助教 2020: 国立研究開発法人理化学研究所, 仁科加速器科学研究センター, 基礎科学特別研究員
Review Section/Research Field	Principal Investigator Transformative Research Areas, Section (II) / Basic Section 15010:Theoretical studies related to particle-, nuclear-, cosmic ray and astro-physics Except Principal Investigator Basic Section 13030:Magnetism, superconductivity and strongly correlated systems-related / Transformative Research Areas, Section (II)
Keywords	Principal Investigator 格子QCD / ニューラルネットワーク / 機械学習 / 素粒子理論 / 原子核物理学 / 素粒子物理学 / QCD相図 / 変分アルゴリズム / 量子コンピュータ / シュウィンガー模型 / 場の量子論 … More Except Principal Investigator … More 自己学習モンテカルロ法 / 強相関電子系 / 対称性 / ニューラルネットワーク / 物理学 / 機械学習 Less

Foundation of "Machine Learning Physics" --- Revolutionary Transformation of Fundame ntal Physics by A New Field Integrating Machine Learning and Physics
- Principal Investigator
  
  橋本幸士
- Project Period (FY)
  2022 – 2026
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  Kyoto University
Unification of Computational Physics and Machine LearningPrincipal Investigator
- Principal Investigator
  
  富谷昭夫
- Project Period (FY)
  2022 – 2026
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  Tokyo Woman's Christian University
  International Professional University of Technology in Osaka
Effective models constructed by neural networks with symmetries
- Principal Investigator
  
  永井佑紀
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 13030:Magnetism, superconductivity and strongly correlated systems-related
- Research Institution
  Japan Atomic Energy Agency
Phase structure of gauge theories via digital quantum computersPrincipal Investigator
- Principal Investigator
  
  富谷昭夫
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 15010:Theoretical studies related to particle-, nuclear-, cosmic ray and astro-physics
- Research Institution
  International Professional University of Technology in Osaka
  Institute of Physical and Chemical Research

All 2023 2022 2020

All Journal Article Presentation

[Journal Article] Self-learning Monte Carlo for non-Abelian gauge theory with dynamical fermions2023
- Author(s)
  Nagai Yuki、Tanaka Akinori、Tomiya Akio
- Journal Title
  
  Physical Review D
  
  Volume: 107 Issue: 5 Pages: 1-16
- DOI
  10.1103/physrevd.107.054501
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K03539, KAKENHI-PLANNED-22H05116, KAKENHI-PROJECT-18K11345, KAKENHI-PROJECT-18K13548
[Journal Article] T-mu phase diagram using classical-quantum hybrid algorithm2023
- Author(s)
  Tomiya Akio
- Journal Title
  
  Proceedings of Science
  
  Volume: 430 Pages: 1-9
- DOI
  10.22323/1.430.0039
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K03539, KAKENHI-PROJECT-20K14479
[Presentation] Neural net for lattice QCD, and quantum methods for finite-temperature and density2022
- Author(s)
  Akio Tomiya
- Organizer
  Nonperturbative Analysis of Quantum Field Theory and its Applications
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14479
[Presentation] T-mu phase diagram using classical-quantum hybrid algorithm2022
- Author(s)
  Akio Tomiya
- Organizer
  Lattice 2022
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14479
[Presentation] Thermal field theory with pure states2020
- Author(s)
  富谷昭夫
- Organizer
  Asia-Pacific Symposium for Lattice Field Theory (APLAT 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14479
[Presentation] Quantum computing for QCD phase diagram? Finite chemical potential and temperature?2020
- Author(s)
  富谷昭夫
- Organizer
  (Virtual) Kickoff meeting of C2QA center
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14479

1. 永井佑紀 (20587026)

# of Collaborated Projects: 2 results

# of Collaborated Products: 1 results
2. 橋本幸士 (80345074)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 田中章詞 (20791924)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 野尻美保子 (30222201)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 大槻東巳 (50201976)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 福嶋健二 (60456754)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 今田正俊 (70143542)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 樺島祥介 (80260652)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 広野雄士 (50998903)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 大野浩史 (20734396)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
11. 柏浩司 (50612123)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
12. 櫻井鉄也 (60187086)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Tomiya Akio 富谷 昭夫

Research Projects

Research Products

Co-Researchers

Foundation of "Machine Learning Physics" --- Revolutionary Transformation of Fundame ntal Physics by A New Field Integrating Machine Learning and Physics

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Unification of Computational Physics and Machine LearningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Effective models constructed by neural networks with symmetries

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Phase structure of gauge theories via digital quantum computersPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Self-learning Monte Carlo for non-Abelian gauge theory with dynamical fermions2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] T-mu phase diagram using classical-quantum hybrid algorithm2023

Author(s)

Journal Title

DOI

Data Source

[Presentation] Neural net for lattice QCD, and quantum methods for finite-temperature and density2022

Author(s)

Organizer

Data Source

[Presentation] T-mu phase diagram using classical-quantum hybrid algorithm2022

Author(s)

Organizer

Data Source

[Presentation] Thermal field theory with pure states2020

Author(s)

Organizer

Data Source

[Presentation] Quantum computing for QCD phase diagram? Finite chemical potential and temperature?2020

Author(s)

Organizer

Data Source

Tomiya Akio 富谷昭夫