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Tomiya Akio  富谷 昭夫

Researcher Number 50837185
Other IDs
  • ORCIDhttps://orcid.org/0000-0001-9374-3716
Affiliation (Current) 2025: 東京女子大学, 現代教養学部, 専任講師
Affiliation (based on the past Project Information) *help 2023 – 2025: 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
Basic Section 15010:Theoretical studies related to particle-, nuclear-, cosmic ray and astro-physics / Transformative Research Areas, Section (II)
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 / マルコフ連鎖モンテカルロ法 / 負符号問題 / トランスフォーマー / 自己学習モンテカルロ法 / 格子ゲージ理論 / 機械学習 / 素粒子理論 / 原子核物理学 … More / 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 / 素粒子物理学 … More
Except Principal Investigator
機械学習 / 強相関電子系 / 対称性 / ニューラルネットワーク / Transformer / 自己学習モンテカルロ法 / 物理学 Less
  • Research Projects

    (5 results)
  • Research Products

    (30 results)
  • Co-Researchers

    (12 People)
  •  機械学習を用いたクォークを消去した格子QCD有効模型の構築と第一原理計算への応用Principal Investigator

    • Principal Investigator
      富谷 昭夫
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 15010:Theoretical studies related to particle-, nuclear-, cosmic ray and astro-physics
    • Research Institution
      Tokyo Woman's Christian University
  •  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
  •  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
      The University of Tokyo
      Japan Atomic Energy Agency
  •  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
  •  Phase structure of gauge theories via digital quantum computersPrincipal Investigator

    • Principal Investigator
      富谷 昭夫
    • Project Period (FY)
      2020 – 2024
    • 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] Sparse modeling approach to extract spectral functions with covariance of Euclidean-time correlators of lattice QCD2023

    • Author(s)
      Junichi Takahashi, Hiroshi Ohno, Akio Tomiya
    • Journal Title

      PoS LATTICE2023

      Volume: - Pages: 028-028

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K03539
  • [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, KAKENHI-PLANNED-22H05114
  • [Journal Article] Equivariant transformer is all you need2023

    • Author(s)
      Akio Tomiya, Yuki Nagai
    • Journal Title

      PoS LATTICE2023

      Volume: - Pages: 001-001

    • DOI

      10.22323/1.453.0001

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20K14479, KAKENHI-PLANNED-22H05112
  • [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
  • [Journal Article] Sparse modeling approach to extract spectral functions with covariance of Euclidean-time correlators of lattice QCD2023

    • Author(s)
      Junichi Takahashi, Hiroshi Ohno, Akio Tomiya
    • Journal Title

      PoS LATTICE2023

      Volume: - Pages: 028-028

    • DOI

      10.22323/1.453.0028

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20K14479, KAKENHI-PLANNED-22H05112
  • [Journal Article] Self-learning Monte Carlo with equivariant Transformer2023

    • Author(s)
      Yuki Nagai, Akio Tomiya
    • Journal Title

      -

      Volume: -

    • Data Source
      KAKENHI-PLANNED-22H05112
  • [Journal Article] Equivariant transformer is all you need2023

    • Author(s)
      Akio Tomiya, Yuki Nagai
    • Journal Title

      PoS LATTICE2023

      Volume: - Pages: 001-001

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K03539
  • [Journal Article] GomalizingFlow.jl: A Julia package for Flow-based sampling algorithm for lattice field theory2022

    • Author(s)
      Akio Tomiya, Satoshi Terasaki
    • Journal Title

      arXiv(preprint)

      Volume: -

    • Data Source
      KAKENHI-PLANNED-22H05112
  • [Journal Article] Use of Schwinger-Dyson equation in constructing an approximate trivializing map2022

    • Author(s)
      Peter Boyle, Taku Izubuchi, Luchang Jin, Chulwoo Jung, Christoph Lehner, Nobuyuki Matsumoto, Akio Tomiya
    • Journal Title

      PoS LATTICE2022

      Volume: -

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-22H05112
  • [Presentation] Machine learning and Lattice QCD2023

    • Author(s)
      Akio Tomiya
    • Organizer
      Challenges and opportunities in Lattice QCD simulations and related fields
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K03539
  • [Presentation] "Application of Julia in Particle Physics -Toward Large-Scale Computations of Lattice QCD2023

    • Author(s)
      Akio Tomiya
    • Organizer
      , Julia in mathematics and physics
    • Data Source
      KAKENHI-PLANNED-22H05112
  • [Presentation] Application of Julia in Particle Physics -Toward Large-Scale Computations of Lattice QCD-2023

    • Author(s)
      Akio Tomiya
    • Organizer
      20 June 2023, Julia in mathematics and physics
    • Data Source
      KAKENHI-PROJECT-22K03539
  • [Presentation] 機械学習を用いた格子QCDの進展2023

    • Author(s)
      富谷昭夫
    • Organizer
      日本物理学会2023年春季大会
    • Data Source
      KAKENHI-ORGANIZER-22H05111
  • [Presentation] Self-learning Monte Carlo2023

    • Author(s)
      Akio Tomiya
    • Organizer
      Kick-off Meeting for the Accelerated Program in Fugaku
    • Data Source
      KAKENHI-PLANNED-22H05112
  • [Presentation] Self-learning Monte Carlo2023

    • Author(s)
      Akio Tomiya
    • Organizer
      Kick-off Meeting for the Accelerated Program in Fugaku
    • Data Source
      KAKENHI-PROJECT-20K14479
  • [Presentation] Self-learning Monte Carlo2023

    • Author(s)
      Akio Tomiya
    • Organizer
      Kick-off Meeting for the Accelerated Program in Fugaku
    • Data Source
      KAKENHI-PROJECT-22K03539
  • [Presentation] Development of machine learning methods for simulation of quantum theory of lattice fields2023

    • Author(s)
      Akio Tomiya
    • Organizer
      HPCI Computational Science Forum
    • Data Source
      KAKENHI-PROJECT-22K03539
  • [Presentation] Flow based sampling for 3- and 4-dim. model2023

    • Author(s)
      Akio Tomiya
    • Organizer
      The Future is non-perturbative
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K03539
  • [Presentation] Flow based sampling for 3- and 4-dim. model", Akio Tomiya, 7 June 2023, The Future is non-perturbative2023

    • Author(s)
      Akio Tomiya
    • Organizer
      The Future is non-perturbative
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-22H05112
  • [Presentation] Equivariant transformer is all you need2023

    • Author(s)
      Akio Tomiya
    • Organizer
      Lattice2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K14479
  • [Presentation] Equivariant transformer is all you need2023

    • Author(s)
      Akio Tomiya
    • Organizer
      Lattice 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-22H05112
  • [Presentation] Use of GPT2023

    • Author(s)
      Akio Tomiya
    • Organizer
      Exploring GPT’s Influence on Natural Science and Mathematics
    • Data Source
      KAKENHI-PLANNED-22H05112
  • [Presentation] Advances in Lattice QCD with Machine Learning2023

    • Author(s)
      Akio Tomiya
    • Organizer
      JPS Meeting (Symposium)
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K03539
  • [Presentation] Machine Learning for Accelerating Lattice QCD Computations2022

    • Author(s)
      Akio Tomiya
    • Organizer
      Symposium on "Elementary Particles, Nuclei, Universe and Planets Accelerated at Fugaku
    • Data Source
      KAKENHI-PLANNED-22H05112
  • [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] Search for phase diagram of Schwinger model using Quantum-Classical Hybrid Algorithm2022

    • Author(s)
      Akio Tomiya
    • Organizer
      JPS Meeting
    • Data Source
      KAKENHI-PLANNED-22H05112
  • [Presentation] Recent procgress in the Application of Deep Learning to Physics2022

    • Author(s)
      Akio Tomiya
    • Organizer
      Japan Society of Mechanical Engineers
    • Data Source
      KAKENHI-PLANNED-22H05112
  • [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
  • [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
  • 1.  永井 佑紀 (20587026)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 2 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

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