KEIO RESEARCHERS INFORMATION SYSTEM

Other Affiliation 【 Display / hide 】

Other Affiliation 【 Display / hide 】

• サスティナブル量子AI研究センター, Chair

• Keio University Human Biology Microbiome Quantum Research Center (WPI-Bio2Q), Core Director

• Keio University Quantum Computing Center, KQCC Researcher

Career 【 Display / hide 】

Career 【 Display / hide 】

• 2008.04

  -

  2010.03

  The University of Tokyo, Institute of Solid State Physics, Postdoctoral fellow

• 2010.04

  -

  2011.03

  Kindai University, Quantum Computing Center, 博士研究員

• 2011.04

  -

  2014.03

  The University of Tokyo, Department of Chemistry, Research Fellowship for Young Scientists, Japan Society for the Promotion of Science

• 2014.04

  -

  2015.03

  Kyoto University, Yukawa Institute for Theoretical Physics, Postdoctoral Fellow (Yukawa Fellow)

• 2014.10

  -

  2015.01

  Kyoto University, Faculty of Integrated Human Studies, Part-time Lecturer

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Academic Background 【 Display / hide 】

Academic Background 【 Display / hide 】

• 1999.04

  -

  2003.03

  Tokyo Institute of Technology, School of Science, Department of Physics

  University, Graduated

• 2003.04

  -

  2005.03

  The University of Tokyo, School of Science, Department of Physics

  Graduate School, Completed, Master's course

• 2005.04

  -

  2008.03

  The University of Tokyo, School of Science, Department of Physics

  Graduate School, Completed, Doctoral course

Academic Degrees 【 Display / hide 】

Academic Degrees 【 Display / hide 】

• Ph. D, The University of Tokyo, Coursework, 2008.03

  Slow Dynamics in Frustrated Magnetic Systems

Research Areas 【 Display / hide 】

Research Areas 【 Display / hide 】

• Natural Science / Mathematical physics and fundamental theory of condensed matter physics

Research Keywords 【 Display / hide 】

Research Keywords 【 Display / hide 】

• 量子アニーリング

• イジングマシン

• 物性理論

• 統計力学

• 計算物理学

Research Themes 【 Display / hide 】

Research Themes 【 Display / hide 】

• Quantum annealing, Ising machine, 

  2006

  -

  Present

  　View Summary

  量子アニーリング等イジングマシンのハードウェア開発やソフトウェア・内部アルゴリズム開発につながる基礎研究や、量子アニーリング等イジングマシンの有効なアプリケーションを探る応用研究を、多くの企業や大学、研究所の方々と緊密に連携しながら行っております。

Proposed Theme of Joint Research 【 Display / hide 】

Proposed Theme of Joint Research 【 Display / hide 】

• 量子アニーリング等イジングマシンの有効なアプリケーション探索

  Interested in joint research with industry (including private organizations, etc.),  Desired form： Technical Consultation, Funded Research, Cooperative Research

• 量子アニーリング等イジングマシンのソフトウェア開発につながる基礎研究

  Interested in joint research with industry (including private organizations, etc.),  Desired form： Technical Consultation, Funded Research, Cooperative Research

• 量子アニーリング等イジングマシンのハードウェア開発につながる基礎研究

  Interested in joint research with industry (including private organizations, etc.),  Desired form： Technical Consultation, Funded Research, Cooperative Research

Books 【 Display / hide 】

Books 【 Display / hide 】

• 量子アニーリングの物理

  田中宗,田村亮, 森北出版, 2023.01

  Original author： Shu Tanaka, Ryo Tamura, and Bikas K. Chakrabarti

• 弱点克服　大学生の熱力学

  田中宗,轟木義一,田村亮,白井達彦,所裕子, 東京図書, 2021.11

• Quantum Spin Glasses, Annealing and Computation

  Shu Tanaka, Ryo Tamura, and Bikas K. Chakrabarti, Cambridge University Press, 2017.05,  Page： 418

• Kinki University Series on Quantum Computing Series “Lectures on Quantum Computing, Thermodynamics and Statistical Physics”

  Shu Tanaka and Ryo Tamura, World Scientific, 2012.12

  Scope: Quantum Annealing from the Viewpoint of Statistical Physics, Condensed Matter Physics, and Computational Physics,  Contact page： 3-59

• Lecture Note in Physics “Quantum Quenching, Annealing, and Computation”

  Shu Tanaka, Masaki Hirano, and Seiji Miyashita, Springer, 2010.05

  Scope: Roles of Quantum Fluctuation in Frustrated Systems -- Order by Disorder and Reentrant Phase Transition --,  Contact page： 215-234

Papers 【 Display / hide 】

Papers 【 Display / hide 】

• Machine Learning Supported Annealing for Prediction of Grand Canonical Crystal Structures

  Couzinié Y., Seki Y., Nishiya Y., Nishi H., Kosugi T., Tanaka S., Matsushita Y.I.

  Journal of the Physical Society of Japan 94 ( 4 )  2025.04

  ISSN  00319015

  　View Summary

  This study investigates the application of Factorization Machines with Quantum Annealing (FMQA) to address the crystal structure problem (CSP) in materials science. FMQA is a black-box optimization algorithm that combines machine learning with annealing machines to find samples to a black-box function that minimize a given loss. The CSP involves determining the optimal arrangement of atoms in a material based on its chemical composition, a critical challenge in materials science. We explore FMQA’s ability to efficiently sample optimal crystal configurations by setting the loss function to the energy of the crystal configuration as given by a predefined interatomic potential. Further, we investigate how well the energies of the various metastable configurations, or local minima of the potential, are learned by the algorithm. Our investigation reveals FMQA’s potential in quick ground state sampling and in recovering relational order between local minima.

  • Access to Document (DOI)

• Formulation of Correction Term in QUBO Form for Phase-Field Model

  Aoki S., Endo K., Matsuda Y., Seki Y., Tanaka S., Muramatsu M.

  International Journal for Numerical Methods in Engineering 126 ( 6 )  2025.03

  ISSN  00295981

  　View Summary

  In this study, we developed a method of estimating the correction terms that makes the Hamiltonian used in phase-field analysis by quantum annealing correspond to the free energy functional of the conventional phase-field analysis using the finite difference method. For the estimation of the correction terms, we employed a factorization machine. The inputs to the factorization machine were the phase-field variables in domain-wall encoding and the differences between the Gibbs free energy and Hamiltonian. We obtained the difference value in quadratic unconstrained binary optimization (QUBO) form as the output of learning using the factorization machine. The QUBO form difference was subjected to the original Hamiltonian as the correction term. The performance of this correction term was evaluated by calculating the energy for a equilibrium state of diblock copolymer. In phase-field analysis, the time evolution equation is formulated so that the total free energy decreases; hence, a lower the free energy means a more accurate result close to that of a conventional method. When we performed annealing with correction terms, the microstructure showed a Gibbs free energy that was lower than that obtained without the correction terms.

  • Access to Document (DOI)

• Advantages of Fixing Spins in Quantum Annealing

  Hattori T., Irie H., Kadowaki T., Tanaka S.

  Journal of the Physical Society of Japan 94 ( 1 )  2025.01

  ISSN  00319015

  　View Summary

  Quantum annealing can efficiently obtain solutions to combinatorial optimization problems. Size-reduction methods are used to treat large-scale combinatorial optimization problems that cannot be input directly into a quantum annealer because of its size limitation. Various size-reduction methods using fixing spins have been proposed as quantum-classical hybrid methods to obtain solutions. However, the high performance of these hybrid methods is yet to be clearly elucidated. In this study, we adopted a parameterized fixing spins method to verify the effects of fixing spins. The results revealed that setting the appropriate number of spins of the subproblem is crucial for obtaining a satisfactory solution, and the energy gap expansion is confirmed after fixing spins.

  • Access to Document (DOI)

• Inductive Construction of Variational Quantum Circuit for Constrained Combinatorial Optimization

  Nakada H., Tanahashi K., Tanaka S.

  IEEE Access 13   73096 - 73108 2025

  　View Summary

  In this study, we propose a new method for constrained combinatorial optimization using variational quantum circuits. Quantum computers are considered to have the potential to solve large combinatorial optimization problems faster than classical computers. Variational quantum algorithms, such as Variational Quantum Eigensolver (VQE), have been studied extensively because they are expected to work on noisy intermediate scale devices. Unfortunately, many optimization problems have constraints, which induces infeasible solutions during VQE process. Recently, several methods for efficiently solving constrained combinatorial optimization problems have been proposed by designing a quantum circuit so as to output only the states that satisfy the constraints. However, the types of available constraints are still limited. Therefore, we have started to develop variational quantum circuits that can handle a wider range of constraints. The proposed method utilizes a forwarding operation that maps from feasible states for subproblems to those for larger subproblems. As long as appropriate forwarding operations can be defined, iteration of this process can inductively construct variational circuits outputting feasible states even in the case of multiple and complex constraints. In this paper, the proposed method was applied to facility location problem. As a result, feasible solutions were obtained with 100%, and the probability of obtaining optimal solutions was over 22 times higher than that of conventional VQEs. Nevertheless, the cost of the obtained circuit was comparable to that of conventional circuits.

  • Access to Document (DOI)

• Development of optimization method for truss structure by quantum annealing

  Honda R., Endo K., Kaji T., Suzuki Y., Matsuda Y., Tanaka S., Muramatsu M.

  Scientific Reports 14 ( 1 )  2024.12

  　View Summary

  In this study, we developed a new method of topology optimization for truss structures by quantum annealing. To perform quantum annealing analysis with real variables, representation of real numbers as a sum of random number combinations is employed. The nodal displacement is expressed with binary variables. The Hamiltonian H is formulated on the basis of the elastic strain energy and position energy of a truss structure. It is confirmed that truss deformation analysis is possible by quantum annealing. For the analysis of the optimization method for the truss structure, the cross-sectional area of the truss is expressed with binary variables. The iterative calculation for the changes in displacement and cross-sectional area leads to the optimal structure under the prescribed boundary conditions.

  • Access to Document (DOI)

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Papers, etc., Registered in KOARA 【 Display / hide 】

Papers, etc., Registered in KOARA 【 Display / hide 】

• Theoretical study of quantum computing based on the hybridization of quantum and temperature effect

  Tanaka, Shu

  学事振興資金研究成果実績報告書 (慶應義塾大学)  2020

Reviews, Commentaries, etc. 【 Display / hide 】

Reviews, Commentaries, etc. 【 Display / hide 】

• イジングマシン技術の研究開発動向

  田中 宗

  技術解説書「拡大する量子コンピューティング　その社会実装ポテンシャル」 (モバイルコンピューティング推進コンソーシアム(MCPC))   2020.03

  Article, review, commentary, editorial, etc. (other), Single Work

• イジングマシンの動作原理と応用探索の最新動向

  田中 宗，松田 佳希

  表面と真空 63   96 - 103 2020

  Article, review, commentary, editorial, etc. (scientific journal), Joint Work

• 量子アニーリングや関連技術のいまと未来：AQC2019 参加報告

  田中 宗，白井 達彦，藤井 啓祐

  日本物理学会誌 75 ( 5 ) 299 - 302 2020

  Article, review, commentary, editorial, etc. (scientific journal), Joint Work

• 量子アニーリングの応用探索

  田中 宗，西村 直樹，棚橋 耕太郎

  数理科学 2019年7月号 673   47 - 53 2019.07

  Article, review, commentary, editorial, etc. (scientific journal), Joint Work

• イジングマシンに関係するソフトウェア開発およびアプリケーション探索動向

  田中 宗

  量子コンピュータ／イジング型コンピュータ研究開発最前線　〜基礎原理・最新技術動向・実用化に向けた企業の取り組み〜 (情報機構)   2019.02

  Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media), Single Work

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Presentations 【 Display / hide 】

Presentations 【 Display / hide 】

• イジングマシンを用いたアミューズメントパークの経路最適化手法

  武笠 陽介、若泉 朋弥、田中 宗、戸川 望

  VLSI設計技術研究会, 

  2020.03

  , 

  Oral presentation (general)

• イジング計算機による3次元直方体パッキング問題の解法

  金丸 翔、寺田 晃太朗、川村 一志、田中 宗、富田 憲範、戸川 望

  VLSI設計技術研究会, 

  2020.03

  , 

  Oral presentation (general)

• 3 次元直方体パッキング問題のQUBOモデルマッピング

  金丸 翔、寺田 晃太朗、川村 一志、田中 宗、富田 憲範、戸川 望

  2020年電子情報通信学会総合大会, 

  2020.03

  , 

  Oral presentation (general)

• Quantum Annealing Accelerates Materials Discovery

  Shu Tanaka

  MANA International Symposium 2020 Jointly with ICYS, 

  2020.03

  , 

  Oral presentation (invited, special)

• イジングマシン分野の研究開発の現状と今後　〜ハード・ソフト・アプリケーション・理論〜

  田中 宗、戸川 望

  2020年電子情報通信学会総合大会　依頼シンポジウムセッション「組合せ最適化専用イジングマシン周辺技術の現状と展望」, 

  2020.03

  , 

  Oral presentation (invited, special)

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

Research Projects of Competitive Funds, etc. 【 Display / hide 】

• 多段階最適化のための量子・古典ハイブリッド基本アルゴリズムの構築と評価

  2023.12

  -

  2028.03

  文部科学省・量子科学技術研究開発機構, 戦略的イノベーション創造プログラム（SIP）, Principal investigator

• 量子・AIハイブリッド技術の活用を加速する共通ライブラリ基盤の研究開発

  2023.06

  -

  2026.03

  経済産業省・国立研究開発法人 新エネルギー・産業技術総合開発機構, NEDO, Principal investigator

• 負性インダクタンスと熱ゆらぎを積極利用した複雑な最適化問題を解く量子アニーリング

  2023.04

  -

  2028.03

  MEXT,JSPS, Grant-in-Aid for Scientific Research, 基盤研究（S), Coinvestigator(s)

• 量子人材を創出するエコシステムづくり

  2023.04

  -

  2026.03

  文部科学省, Q-LEAP, Coinvestigator(s)

• 量子・古典ハイブリッドテストベッド構築のための課題要件調査

  2022.09

  -

  2023.01

  文部科学省・量子科学技術研究開発機構, Coinvestigator(s)

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Awards 【 Display / hide 】

Awards 【 Display / hide 】

• 第９回日本物理学会若手奨励賞（領域11）

  田中 宗, 2015.03, 日本物理学会, 二次元量子多体系におけるエンタングルメントの研究

  Type of Award： Award from Japanese society, conference, symposium, etc.

• 東京大学大学院理学系研究科研究奨励賞（博士）

  田中 宗, 2008.03, 東京大学大学院理学系研究科

  Type of Award： Other

Courses Taught 【 Display / hide 】

Courses Taught 【 Display / hide 】

• QUANTUM COMPUTING

  2025

• PRESENTATION TECHNIQUE

  2025

• LABORATORY IN SCIENCE

  2025

• INDEPENDENT STUDY ON FUNDAMENTAL SCIENCE AND TECHNOLOGY

  2025

• GRADUATE RESEARCH ON FUNDAMENTAL SCIENCE AND TECHNOLOGY 2

  2025

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Courses Previously Taught 【 Display / hide 】

Courses Previously Taught 【 Display / hide 】

• ディジタルシステム設計

  早稲田大学基幹理工学部

  2019.04

  -

  2020.03

  , 

  Autumn Semester, Lecture, Lecturer outside of Keio

• オムニバス講義

  お茶の水女子大学

  2019.04

  -

  2020.03

  , 

  Autumn Semester, Lecture, Lecturer outside of Keio

• ディジタルシステム設計

  早稲田大学基幹理工学部

  2018.04

  -

  2019.03

  , 

  Autumn Semester, Lecture, Lecturer outside of Keio

• 物理学実験

  芝浦工業大学通信工学科

  2017.04

  -

  2018.03

  , 

  Laboratory work/practical work/exercise, Lecturer outside of Keio

• Exercises for Fundamental Physics B IPSE Course

  早稲田大学先進理工学部

  2017.04

  -

  2018.03

  , 

  Autumn Semester, Seminar

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Social Activities 【 Display / hide 】

Social Activities 【 Display / hide 】

• 平成30年度第7回生徒研究成果合同発表会助言員

  科学技術振興機構スーパーサイエンスハイスクール事業, 平成30年度第7回生徒研究成果合同発表会, 

  , 

  2019.02

• 平成29年度第6回生徒研究成果合同発表会助言員

  科学技術振興機構スーパーサイエンスハイスクール事業, 平成29年度第6回生徒研究成果合同発表会, 

  , 

  2018.02

• 平成28年度第5回生徒研究成果合同発表会助言員

  科学技術振興機構スーパーサイエンスハイスクール事業, 平成28年度第5回生徒研究成果合同発表会, 

  , 

  2017.02

• サイエンスキャッスル2016関東大会口頭講演審査員

  株式会社リバネス, サイエンスキャッスル2016関東大会, 

  , 

  2016.12

Memberships in Academic Societies 【 Display / hide 】

Memberships in Academic Societies 【 Display / hide 】

• IEEE, 

  2024.05

  -

  Present

• 情報処理学会, 

  2020.04

  -

  Present

• 日本物理学会, 

  2003.12

  -

  Present

Committee Experiences 【 Display / hide 】

Committee Experiences 【 Display / hide 】

• 2024.07

  -

  Present

  Adiabatic Quantum Computing Conference, Conference series steering committee

• 2024.04

  -

  Present

  情報処理学会量子ソフトウェア研究会専門委員

• 2023.06

  -

  Present

  量子ICTフォーラム量子コンピューティング技術推進委員会　技術担当理事（業務執行理事）

• 2021.04

  -

  Present

  Journal of the Physical Society of Japan(JPSJ)第77期編集委員

• 2020.12

  -

  2021.06

  Adiabatic Quantum Computing Conference 2021 (AQC2021) local organizer

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