Updated on 2026/02/25

写真a

 
ohzeki masayuki
 
Organization
School of Science Professor
Title
Professor
External link

Degree

  • 博士(理学) ( Tokyo Institute of Technology )

Research Interests

  • 機械学習

  • 量子力学

  • 統計力学、量子力学、機械学習

Research Areas

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

Research History

  • Kumamoto University   Research and Education Institute for Semiconductors and Informatics   Professor

    2025.7

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  • Institute of Science Tokyo   Department of Physics   Professor

    2024.10

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  • Tohoku University   Graduate School of Information Sciences Department of Computer and Mathematical Sciences   Professor

    2021.1

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Professional Memberships

Papers

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Books

  • 量子コンピュータによる機械学習

    Schuld, Maria, Petruccione, F. (Francesco), 荒井, 俊太, 篠島, 匠人, 高橋, 茶子, 御手洗, 光祐, 山城, 悠, 大関, 真之

    共立出版  2020.8  ( ISBN:9784320124622

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    Total pages:xiv, 347p   Language:Japanese  

    CiNii Books

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  • スパースモデリング : 理論、アルゴリズム、応用

    Rish, Irina, Grabarnik, Genady Ya., 竹澤, 邦夫, 大関, 真之, 高橋, 茶子, 竹田, 晃人, 徳田, 悟, 藤本, 晃司, 安田, 宗樹

    ジャムハウス  2020.1  ( ISBN:9784906768738

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    Total pages:xiii, 232p   Language:Japanese  

    CiNii Books

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  • 量子コンピュータが変える未来

    寺部, 雅能, 大関, 真之

    オーム社  2019.7  ( ISBN:9784274223723

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  • Pythonで機械学習入門 : 深層学習から敵対的生成ネットワークまで

    大関, 真之

    オーム社  2019.5  ( ISBN:9784274222863

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  • 画像処理の統計モデリング : 確率的グラフィカルモデルとスパースモデリングからのアプローチ

    片岡, 駿, 大関, 真之, 安田, 宗樹, 田中, 和之, 照井, 伸彦, 小谷, 元子, 赤間, 陽二, 花輪, 公雄

    共立出版  2018.11  ( ISBN:9784320111233

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    Total pages:xii, 246p   Language:Japanese  

    CiNii Books

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  • 量子アニーリングの基礎

    西森 秀稔, 大関 真之( Role: Joint author)

    共立出版  2018.5  ( ISBN:9784320035386

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    Total pages:160   Language:Japanese  

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  • ベイズ推定入門 -モデル選択からベイズ的最適化まで-

    大関 真之( Role: Sole author)

    オーム社  2018.2  ( ISBN:9784274221392

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    Total pages:192   Language:Japanese  

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  • 先生、それって「量子」の仕業ですか?

    大関 真之( Role: Sole author)

    小学館  2017.1  ( ISBN:9784093885157

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    Total pages:208   Language:Japanese  

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  • 量子コンピュータが人工知能を加速する

    西森秀稔, 大関真之( Role: Joint author)

    日経BP  2016.12  ( ISBN:9784822251895

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    Language:Japanese   Book type:Scholarly book

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  • 機械学習入門 ボルツマン機械学習から深層学習まで

    大関真之( Role: Sole author)

    オーム社  2016.11  ( ISBN:9784274219986

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    Language:Japanese   Book type:Scholarly book

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  • Lectures on Quantum Computing, Thermodynamics and Statistical Physics

    Edited by Mikio, Nakahara and, Shu Tanaka

    World Scientific  2012.12 

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    Language:English   Book type:Scholarly book

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  • Simulated Annealing - Advances, Applications and Hybridizations

    Edited by, Marcos de, Sales Guerra Tsuzuki

    InTech  2012.8 

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    Language:English   Book type:Scholarly book

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MISC

  • Evacuation route optimization in disaster scenarios using binary quadratic programming

    鹿内怜央, 羽場廉一郎, 大関真之, 持田成一, 真野卓也, 坂本大, 渡邉彰仁, 土山稔, 日朝洋介, 松本一道

    日本物理学会講演概要集(CD-ROM)   80 ( 1 )   2025

  • 新しい時代の教科書は

    大関真之

    物理教育   73 ( 3 )   2025

  • A Study on SQA Acceleration Using Multi-FPGA for Route Optimization of Large-scale Mobile Robots System

    THINH Nguyen Quang, THINH Nguyen Quang, 松山公丞, 清水啓介, 菅野裕己, 栗本英治, MUTHUMALA Waidyasooriya Hasitha, 張山昌論, 大関真之

    電子情報通信学会技術研究報告(Web)   124 ( 400(VLD2024 103-140) )   2025

  • 車両の通過時刻を考慮した量子アニーリングによる都市交通制御

    野田佳克, 伊原康行, 大関真之, 大関真之, 大関真之

    情報処理学会研究報告(Web)   2025 ( HPC-198 )   2025

  • Railway network connection time optimized with quantum annealing

    田中寧衣, 一木輝久, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   80 ( 1 )   2025

  • RESEARCH ON STATISTICAL DATA-BASED TRAFFIC FLOW LEVELING USING QUANTUM ANNEALER

    野田佳克, 秋山克美, 伊原康行, 大関真之

    日本オペレーションズ・リサーチ学会和文論文誌   68   2025

  • Proof of the existence of long-range order in the random field Ising model on the Dyson hierarchical lattice and the one-dimensional long-range Ising spin glass model on the Nishimori line

    奥山真佳, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   80 ( 1 )   2025

  • Learning and Development platform through quantum computing

    本多瑠美子, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   79 ( 2 )   2024

  • Adaptive regularized binary compressed sensing in classical and quantum annealing

    HUANG Xiaoxin, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   79 ( 2 )   2024

  • The generalization of generative diffusion models

    蒲健太郎, 清水怜央, 大関真之, 大関真之, 大関真之, 杉山友規

    日本物理学会講演概要集(CD-ROM)   79 ( 2 )   2024

  • Verification of Exact Solution Methods Using Quantum Annealing and Dantzig-Wolfe Decomposition

    平間草太, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   79 ( 2 )   2024

  • Optimization of traffic signals using quantum annealing in real-word maps

    鹿内怜央, 鹿内怜央, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   79 ( 2 )   2024

  • Efficient machine-learning-assisted Markov Chain Monte Carlo Method and application to a mean-field spin-glass model

    宮本誠也, 西川宜彦, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   79 ( 2 )   2024

  • Ensemble learning using quantum annealing: a comparative study of QBoost and black-box optimization

    小玉健人, 大塚誠, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   79 ( 2 )   2024

  • Deriving the phase boundary of compressed sensing using CGMT

    荒木健介, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   79 ( 2 )   2024

  • Phase transition in binary compressed sensing using non-zero mean matrices with L1-norm minimization

    土井幹也, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   79 ( 2 )   2024

  • Generative modeling from an optimal control perspective

    清水怜央, 大関真之, 大関真之, 大関真之, 杉山友規

    日本物理学会講演概要集(CD-ROM)   79 ( 2 )   2024

  • On High-dimensional Black-box Optimization using Online Learning

    森田圭祐, 森田圭祐, 西川宜彦, 西川宜彦, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   79 ( 2 )   2024

  • A Quantum Computer Suddenly Appeared?

    大関真之

    応用数理   34 ( 4 )   2024

  • Performance Evaluation of Bayesian Optimization Using Factorization Machines

    森田圭祐, 大関真之, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   79 ( 1 )   2024

  • Quantum Computer Started Day before Yesterday

    大関真之

    応用数理   34 ( 3 )   2024

  • Application of time series quantum generative models to financial data

    奥村舜, 大関真之, 大関真之, 大関真之, 大関真之, 阿部真也

    日本物理学会講演概要集(CD-ROM)   79 ( 1 )   2024

  • Storage capacity of fully connected two-layer neural networks with general activation functions

    西山颯大, 大関真之, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   79 ( 1 )   2024

  • Analysis of phase transition points in a permutation model by real-space renormalization

    伊藤竜輝, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   79 ( 1 )   2024

  • Applications and Future Perspectives of Quantum Annealing

    大関真之, 荒井俊太, 観山正道

    電子情報通信学会誌   106 ( 1 )   2023

  • Phase transition in binary compressed sensing

    土井幹也, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   78 ( 2 )   2023

  • 量子アニーリングの現状~最適化ソリューションと人材育成~量子アニーリングの活用状況と量子ソフトウェア人材育成

    大関真之, 大関真之, 大関真之

    技術と経済   ( 682 )   2023

  • Optimization of traffic signals using quantum annealing in real word maps

    鹿内怜央, 大関真之, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   78 ( 2 )   2023

  • Free energy equivalence between mean-field models and densely diluted mean-field models

    奥山真佳, 大関真之, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   78 ( 2 )   2023

  • Using Column Generation and Quantum Annealing Development of an Exact Solution Method for Binary Quadratic Constrained Quadratic Programming

    平間草太, 大関真之, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   78 ( 2 )   2023

  • Improvement of Hybrid Scheme of Continuous Optimization and Simulated Annealing

    高林泰成, 大関真之, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   78 ( 2 )   2023

  • Hybrid algorithms for Combinatorial optimization problems

    宮本誠也, 大関真之, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   78 ( 2 )   2023

  • Mean-field theory is exact for Ising spin glass models with Kac potential in non-additive limit on Nishimori line

    奥山真佳, 大関真之, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   78 ( 1 )   2023

  • Compressed sensing by ADMM using horseshoe prior for non-zero-mean matrix

    荒木健介, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   78 ( 1 )   2023

  • A Study on Application of Reverse Annealing to Hybrid Quantum Annealing Via Molecular Dynamics

    高林泰成, 羽場廉一郎, 羽場廉一郎, 大関真之, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   78 ( 1 )   2023

  • An Application Study of Quantum Computers to Optimization of Production Planning

    平野弘二, 世永公輝, 大関真之, 大関真之, 大関真之, AMARO David, FITZPATRICK Nathan, ROSENKRANZ Matthias, FIORENTINI Mattia, 黒川哲明, 小林敬和

    日本製鉄技報   ( 421 )   2023

  • A Study on an Efficient Process to a Quadratic Programming Problem via Column Generation and Quantum Annealing

    平間草太, 大関真之, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   78 ( 1 )   2023

  • Fourier coefficients and the expressive power of parameterized quantum circuits

    奥村舜, 大関真之, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   78 ( 1 )   2023

  • 量子アニーリングによる社会共創と人材育成-量子未来社会ビジョンの実現に向けて-

    大関真之

    情報処理学会研究報告(Web)   2022 ( HPC-186 )   2022

  • Compressed Sensing with Horseshoe prior using Alternating Direction Method of Multipliers

    荒木健介, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   77 ( 2 )   2022

  • Continuous relaxation and reverse annealing for Nonnegative/binary matrix factorization

    羽場廉一郎, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   77 ( 1 )   2022

  • Storage capacity of a perceptron in adversarial training

    丸山尚貴, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   77 ( 1 )   2022

  • Current situation of quantum annealing devices and benchmark experiments against classical devices

    押山広樹, 大関真之

    システム制御情報学会研究発表講演会講演論文集(CD-ROM)   66th   2022

  • Effect of learning Boltzmann machine with quantum sampling in Associative Adversarial Network

    漆畑充, 漆畑充, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   76 ( 2 )   2021

  • An alternative approach to the route optimization of automated guided vehicles using a quantum annealer

    羽場廉一郎, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   76 ( 1 )   2021

  • An effective initialization of reverse annealing for nonnegative/binary matrix factorization

    羽場廉一郎, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   76 ( 2 )   2021

  • Performance Evaluation of Quantum Annealing with XY Driver in Potts Model

    川島祐輝, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   76 ( 1 )   2021

  • Analysis of sampling performance of quantum annealing in degenerate systems using quantum Monte Carlo methods

    丸山尚貴, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   76 ( 1 )   2021

  • What We Can Do: Thinking about the with COVID-19 era through optimization by quantum annealing

    大関真之, 大関真之, 大関真之

    映像情報メディア学会誌   75 ( 3 )   2021

  • Optimizations of traffic signals by quantum annealing

    亀井秀朔, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   76 ( 1 )   2021

  • [面白いぞ量子技術]2)量子アニーリングは死んだのか-研究の現状から思うこと-

    大関真之, 大関真之, 大関真之

    情報処理   62 ( 4 )   2021

  • Role of Physics in Machine Learning-Quantum Machine Learning and Its Current Status

    大関真之

    日本物理学会誌   76 ( 4 )   2021

  • Quantum Annealer as a Simulator of the Transverse-field Ising Model in One Dimension

    坂東優樹, 須佐友紀, 鈴木正, 押山広樹, 柴田尚和, 大関真之, GOMEZ-RUIZ Fernando Javier, DEL CAMPO Adolf, LIDAR Daniel A., 西森秀稔

    日本物理学会講演概要集(CD-ROM)   75 ( 1 )   2020

  • 量子アニーリングマシンを活用した工場内の無人搬送車の効率的配送技術

    大関真之

    月刊自動認識   33 ( 4 )   2020

  • Replica analysis to evaluate portfolio optimization using quantum annealing

    渡邊大地, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   75 ( 2 )   2020

  • 量子アニーリングと未来の情報科学

    観山正道, 大関真之

    通信ソサイエティマガジン   14 ( 2 )   2020

  • The assessment of image generation by quantum annealer

    佐藤豪人, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   75 ( 2 )   2020

  • Deformation Estimation of Deflated Lung using Kernel Method based on the Relative Position of Some Landmarks

    山本詩子, 中尾恵, 大関真之, 大関真之, 徳野純子, 芳川豊史, 松田哲也

    システム制御情報学会論文誌   33 ( 4 )   2020

  • Application of machine learning for simulations of LACBED patterns

    津田健治, 森川大輔, 越川亜美, 大関真之

    日本物理学会講演概要集(CD-ROM)   75 ( 2 )   2020

  • Learning of Ising perceptron with quantum fluctuations

    荒井俊太, 荒井俊太, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   75 ( 2 )   2020

  • Optimizing Gurunavi recommendation using D-Wave hybrid solver

    秋山登哉, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   75 ( 2 )   2020

  • Proof of weak Griffiths second inequality in spin-glass models

    奥山真佳, 大関真之, 大関真之

    日本物理学会講演概要集(CD-ROM)   75 ( 2 )   2020

  • Audio Source Separation through Nonnegative Binary Matrix Factorization Using D-Wave Quantum Annealer

    篠島匠人, 篠島匠人, 大関真之, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   75 ( 2 )   2020

  • 量子コンピュータを知る 量子アニーリングマシンの現状とこれから

    世永公輝, 大関真之

    電気評論   105   2020

  • 量子コンピュータの産業応用の展望と研究すべきテーマ 量子コンピュータの「人工知能」への活用と課題,今後の展望

    大関真之

    技術情報協会研究開発リーダー   ( 176 )   2020

  • Statistical mechanical analysis of CDMA multiuser detection with reverse annealing

    荒井俊太, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   75 ( 1 )   2020

  • Recent Perspectives on Quantum Annealers

    観山正道, 観山正道, 観山正道, 大関真之, 大関真之, 大関真之, 大関真之

    表面と真空   63 ( 3 )   2020

  • シミュレーテッド・アニーリングを量子アニーリングでシミュレートすることによるフェアサンプリング

    山本雅之, 大関真之, 大関真之, 田中和之

    電子情報通信学会大会講演論文集(CD-ROM)   2019   2019

  • マスター方程式を用いた非擬似古典確率的なハミルトニアンの秩序変数のダイナミクス

    荒井俊太, 大関真之, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   74 ( 1 )   2019

  • スパースモデリングとIR基底を用いた温度グリーン関数のノイズ軽減

    比屋根和樹, 近野直也, 大槻純也, 吉見一慶, 大関真之, 品岡寛

    日本物理学会講演概要集(CD-ROM)   74 ( 1 )   2019

  • ベイズ的最適化によるスピングラスの基底状態の探索

    越川亜美, 大関真之, 大関真之, 大関真之, 観山正道, 観山正道, 田中和之

    日本物理学会講演概要集(CD-ROM)   74 ( 1 )   2019

  • Transonic buffet phenomenon analyzed by optimized extraction of transient structure based on physical sensitivity

    焼野藍子, 河合宗司, 大関真之, 観山正道, 大林茂

    日本航空宇宙学会年会講演会講演集(CD-ROM)   50th   2019

  • 量子コンピュータの進展 量子アニーリング

    大関真之

    数理科学   57 ( 7 )   2019

  • 人工知能(AI)と小児医療 人工知能の現状 人工知能の歴史

    大関真之

    小児内科   51 ( 1 )   2019

  • 組合せ最適化手法を用いたウェブサイト内部リンク構造の最適化

    菅沼孝二, 西村直樹, 酒井亮平, 観山正道, 大関真之, 大関真之

    情報処理学会全国大会講演論文集   81st ( 2 )   2019

  • データ科学を支えるアクセラレーション技術 2章 量子アニーリングマシンの現状と展望

    大関真之

    映像情報メディア学会誌   73 ( 1 )   2019

  • Comment on 'Energy-time uncertainty relation for driven quantum systems'

    Manaka Okuyama, Masayuki Ohzeki

    Journal of Physics A: Mathematical and Theoretical   51 ( 31 )   2018.6

     More details

    Language:English   Publisher:Institute of Physics Publishing  

    DOI: 10.1088/1751-8121/aacb90

    Scopus

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  • International Meeting on "high-Dimensional Data-Driven Science" (HD3-2017)

    Masayuki Ohzeki, Teppei Ikeya, Tatsu Kuwatani, Yoshinori Nakanishi-Ohno, Masamichi J. Miyama, Tomoyuki Obuchi

    Journal of Physics: Conference Series   1036   2018.6

  • 最大エントロピー法でいいの?―スパースモデリングの量子多体論への応用―

    大槻純也, 大関真之, 品岡寛, 吉見 一慶

    固体物理   53 ( 4 )   173 - 188   2018.4

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  • 量子速度限界の古典対応物

    奥山真佳, 大関真之

    日本物理学会講演概要集(CD-ROM)   73 ( 1 )   2018

  • スパースモデリングを用いたライブイメージング技術の改善

    曽我部舞奈, 瀬原淳子, 瀬原淳子, 大関真之

    電子情報通信学会大会講演論文集(CD-ROM)   2018   2018

  • Acceleration of optimization by quantum annealing

    大関真之

    システム制御情報学会研究発表講演会講演論文集(CD-ROM)   62nd   2018

  • 多体グリーン関数の自然な疎表現と計算物理学への応用

    品岡寛, 大槻純也, 大関真之, 吉見一慶

    日本物理学会講演概要集(CD-ROM)   73 ( 1 )   2018

  • 詳細つりあいを破ったMetropolis法の拡張

    一木輝久, 大関真之

    日本物理学会講演概要集(CD-ROM)   73 ( 1 )   2018

  • 量子アニーリングマシンは本物か?

    大関真之

    パリティ   33 ( 2 )   2018

  • 中性子散乱におけるスパースモデリングの応用

    世永公輝, 林田翔平, 大関真之, 益田隆嗣

    日本物理学会講演概要集(CD-ROM)   73 ( 1 )   2018

  • 静的近似を用いない量子系の平均場模型の分配関数の厳密解

    奥山真佳, 大関真之

    日本物理学会講演概要集(CD-ROM)   73 ( 2 )   2018

  • 縮約密度行列を用いた量子ボルツマンマシン

    世永公輝, 大関真之

    日本物理学会講演概要集(CD-ROM)   73 ( 2 )   2018

  • 「物理学とAI」量子コンピュータが人工知能を加速する?-量子揺らぎによるニューラルネットワークの最適化手法-

    大関真之

    人工知能   33 ( 4 )   2018

  • コヒーレントイジングマシンの定常状態

    宮崎涼二, 大関真之

    日本物理学会講演概要集(CD-ROM)   73 ( 2 )   2018

  • シリーズ新潮流 Vol.9-The Next Step of Imaging Technology 人工知能で医療は変わるのか-加速する医療分野のAI開発の現在と未来 AI普及のカギを握る技術開発の実際と展望 8.量子コンピュータの概要と将来展望

    大関真之

    Innervision   33 ( 7 )   2018

  • 非定常特徴構造抽出による遷音速バフェット現象の機構解明

    焼野藍子, 大関真之, 観山正道, 河合宗司, 大林茂

    数値流体力学シンポジウム講演論文集(CD-ROM)   32nd   2018

  • 温度グリーン関数の圧縮基底:数値計算ライブラリと応用例の紹介

    品岡寛, 近野直也, 吉見一慶, 大槻純也, 大関真之

    日本物理学会講演概要集(CD-ROM)   73 ( 2 )   2018

  • D-Waveマシン上における量子相転移の解析

    荒井俊太, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   73 ( 2 )   2018

  • ニューラルネットワークによる様々な相転移の検出

    荒井俊太, 大関真之, 片岡駿, 田中和之

    日本物理学会講演概要集(CD-ROM)   72 ( 2 )   2017

  • 今日から始めるスパースモデリング

    大関真之

    応用物理学会春季学術講演会講演予稿集(CD-ROM)   64th   2017

  • スパースモデリングを用いたライブイメージング技術の改善

    曽我部舞奈, 曽我部舞奈, 大関真之, 瀬原淳子, 瀬原淳子

    日本生化学会大会(Web)   90th   2017

  • カーネル法を用いた弾性体の部分観測情報に基づく変形推定

    山本詩子, 中尾恵, 大関真之, 松田哲也

    日本生体医工学会大会プログラム・抄録集(Web)   56th   2017

  • 揺らぎ定理と非平衡系の応答理論

    一木輝久, 大関真之

    日本物理学会講演概要集(CD-ROM)   72 ( 1 )   2017

  • Shape Estimation of Elastic Object by Partial Observation with Neural Network

    山本詩子, 中尾恵, 大関真之, 松田哲也

    電子情報通信学会技術研究報告   116 ( 411(PRMU2016 127-151) )   2017

  • 知的情報処理の統計力学-機械学習を始めてみよう-

    大関真之

    物性研究・電子版(Web)   6 ( 4 )   2017

  • エネルギーの観点から見た詳細つりあいを破るマルコフ連鎖モンテカルロ法

    一木輝久, 大関真之

    日本物理学会講演概要集(CD-ROM)   72 ( 2 )   2017

  • 量子アニーリングの高速化に向けた断熱定理の再考

    岡田俊太郎, 岡田俊太郎, 田中宗, 大関真之, 寺部雅能, 田口慎一郎

    日本物理学会講演概要集(CD-ROM)   72 ( 2 )   2017

  • 圧縮センシングによるイジング相互作用の推定

    高橋茶子, 大関真之, 岡田俊太郎, 寺部雅能, 田口慎一郎, 田中和之

    日本物理学会講演概要集(CD-ROM)   72 ( 2 )   2017

  • スパースモデリングを活用した量子モンテカルロデータの解析接続~オープンソースソフトウェア紹介および利用事例の紹介

    吉見一慶, 大槻純也, 大関真之, 品岡寛

    日本物理学会講演概要集(CD-ROM)   72 ( 2 )   2017

  • スパースモデリングを利用した量子モンテカルロデータの解析接続

    大槻純也, 大関真之, 品岡寛, 吉見一慶

    日本物理学会講演概要集(CD-ROM)   72 ( 1 )   2017

  • フラストレーションに基づくボンド希釈イジング模型の転移点の見積もり

    工藤祐太, 片岡駿, 大関真之, 田中和之

    日本物理学会講演概要集(CD-ROM)   72 ( 2 )   2017

  • New frontier of machine learning and computation initiated by quantum annealing

    116 ( 381 )   15 - 22   2016.12

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  • Full-order fluctuation-dissipation relation for a class of nonequilibrium steady states

    Akihisa Ichiki, Masayuki Ohzeki

    PHYSICAL REVIEW E   91 ( 6 )   2015.6

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    DOI: 10.1103/PhysRevE.91.062105

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  • New Horizon of Quantum Annealing

    大関 真之

    システム制御情報学会研究発表講演会講演論文集   59   4p   2015.5

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  • L-1-Regularized Boltzmann Machine Learning Using Majorizer Minimization

    Masayuki Ohzeki

    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN   84 ( 5 )   2015.5

  • Inverse Renormalization Group Transformation in Bayesian Image Segmentations

    Kazuyuki Tanaka, Shun Kataoka, Muneki Yasuda, Masayuki Ohzeki

    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN   84 ( 4 )   2015.4

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    DOI: 10.7566/JPSJ.84.045001

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  • Detection of cheating in Boltzmann machine learning : A parameter-free algorithm to sparse solution

    大関 真之

    電子情報通信学会技術研究報告 = IEICE technical report : 信学技報   114 ( 502 )   1 - 8   2015.3

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    We generalize a mathematical model in the item response theory into that in the Boltzmann machine learning to detect "cheating students". The cheating students are hopefully expected to be rare under normal condition holding tests. (We strongly hope!) In other words, the cheating students are expected to be sparse. In the present study, we employ a greedy algorithm, the decimation algorithm, which is free from the arbitrary coefficient. We confirmed that, when the sparseness is strong, the decimation algorithm outperforms the L1 regularization and establish a basic technique to detect the cheating students.

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  • Statistical-Mechanical Analysis of Pre-training and Fine Tuning in Deep Learning

    Masayuki Ohzeki

    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN   84 ( 3 )   2015.3

  • High-precision phase diagram of spin glasses from duality analysis with real-space renormalization and graph polynomials

    Masayuki Ohzeki, Jesper Lykke Jacobsen

    JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL   48 ( 9 )   2015.3

  • Detection of Cheating by Decimation Algorithm

    Shogo Yamanaka, Masayuki Ohzeki, Aurelien Decelle

    JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN   84 ( 2 )   2015.2

  • Hysteretic transition of coarse-grained power grid model on small-world network

    Eiichi Sasaki, Masayuki Ohzeki, Yoshito Ohta

    2015.1

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    We study synchronous phenomena of a coarse-grained power grid model, the<br />
    swing equation, on small-world networks. We show that its steady state, which<br />
    stands for the normal operation of the power systems, can be realized even if<br />
    the phases are disordered. In addition, we prove the linear stability of steady<br />
    state with small-different phases between the adjacent oscillators. On the<br />
    other hand, a trigger of instantaneous power failure, which is described by the<br />
    hysteretic transition, might disappear on an appropriate small-world network.<br />
    This result suggests that the small-world connection would potentially prevent<br />
    the massive blackouts.

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  • 特殊な外力で駆動された非平衡定常状態の揺らぎと散逸

    一木輝久, 大関真之

    日本物理学会講演概要集(CD-ROM)   70 ( 2 )   2015

  • 詳細つりあいを破るランジュバン系のモンテカルロ法

    大関真之, 一木輝久

    日本物理学会講演概要集(CD-ROM)   70 ( 1 )   2015

  • 7pAR-3 Reconstruction of the 3D structure of gold nano clusters using sparsity

    Nakajima C., Ohzeki M., Liu Pan, Hirata A., Nakamura T.

    Meeting abstracts of the Physical Society of Japan   69 ( 2 )   123 - 123   2014.8

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  • 29pBD-7 Detailed Balance Violation and Formal Expression of Linear Response Functions

    Ichiki Akihisa, Ohzeki Masayuki

    Meeting abstracts of the Physical Society of Japan   69 ( 1 )   355 - 355   2014.3

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  • 29pAR-14 Synchronization of the Swing equation on a Watts and Strogatz network

    Sasaki Eiichi, Ohzeki Masayuki, Ohta Yoshito

    Meeting abstracts of the Physical Society of Japan   69 ( 1 )   353 - 353   2014.3

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  • スパース性に基づくカンニング検出の情報統計力学

    山中祥五, 大関真之, DECELLE Aurelien

    日本物理学会講演概要集   69 ( 2 )   2014

  • スモールワールドネットワーク上のSwing方程式の同期

    佐々木英一, 佐々木英一, 大関真之, 太田快人, 太田快人

    計測自動制御学会制御部門マルチシンポジウム(CD-ROM)   1st   2014

  • Your Root in the Ground to the Future(La Toccata)

    Ohzeki Masayuki

    日本物理學會誌   68 ( 9 )   630 - 631   2013.9

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  • Relation between Violation of Detailed Balance and Relaxation Speed

    Ichiki Akihisa, Ohzeki Masayuki

    Meeting abstracts of the Physical Society of Japan   68 ( 2 )   294 - 294   2013.8

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  • Variational Principle in Langevin Processes

    Yuki Sughiyama, Masayuki Ohzeki

    Interdisciplinary information sciences   19   93 - 99   2013.7

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    The recent work, Nemoto and Sasa [Phys. Rev. E, 83: 030105(R) (2011)], has<br />
    shown that large deviations of the current characterizing a nonequilibrium<br />
    system are obtained by observing the typical current for a modified system<br />
    specified by a variational principle. In the present study, we will give a<br />
    generalized version of the Nemoto-Sasa study by extracting a hidden<br />
    mathematical structure from the fluctuation-response relation which is<br />
    well-known in statistical mechanics. Here, the minimization of the<br />
    Kullback-Leibler divergence plays an essential role.

    DOI: 10.4036/iis.2013.93

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  • Langevin dynamics neglecting detailed balance condition

    Masayuki Ohzeki, Akihisa Ichiki

    Physical Review E - Statistical, Nonlinear, and Soft Matter Physics   92 ( 1 )   2013.7

  • A challenge for critical point of spin glass in ground state

    Masayuki Ohzeki

    Interdisciplinary information sciences   19   65 - 71   2013.5

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    We show several calculations to identify the critical point in the ground<br />
    state in random spin systems including spin glasses on the basis of the duality<br />
    analysis. The duality analysis is a profound method to obtain the precise<br />
    location of the critical point in finite temperature even for spin glasses. We<br />
    propose a single equality for identifying the critical point in the ground<br />
    state from several speculations. The equality can indeed give the exact<br />
    location of the critical points for the bond-dilution Ising model on several<br />
    lattices and provides insight on further analysis on the ground state in spin<br />
    glasses.

    DOI: 10.4036/iis.2013.65

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  • Belief propagation with multipoint correlations and its application to inverse problem Reviewed

    Masayuki Ohzeki

    ELC INTERNATIONAL MEETING ON INFERENCE, COMPUTATION, AND SPIN GLASSES (ICSG2013)   473 ( 1 )   2013

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    DOI: 10.1088/1742-6596/473/1/012005

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  • 倒立振子における乗法ノイズを利用した安定化実験

    笠井美弦, 高正義, 大塚啓司郎, 中野博文, 藤田裕樹, 佐野圭, 大関真之, 大木健太郎

    システム制御情報学会研究発表講演会講演論文集(CD-ROM)   57th   2013

  • 19aAC-5 Phase boundary of spin glass on random planar lattice

    Ohzeki Masayuki, Fujii Keisuke

    Meeting abstracts of the Physical Society of Japan   67 ( 2 )   242 - 242   2012.8

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  • Spin Glass: A Bridge between quantum computation and statistical mechanics

    Masayuki Ohzeki

    2012.4

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    We show two fascinating topics lying between quantum information processing<br />
    and statistical mechanics. First, we introduce an elaborated technique, the<br />
    surface code, to prepare the particular quantum state with robustness against<br />
    decoherence. Second, we show another interesting technique to employ quantum<br />
    nature, quantum annealing. Through both of the topics, we would shed light on<br />
    the birth of the interdisciplinary field between quantum mechanics and<br />
    statistical mechanics.

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  • 25aBD-2 Theory of Spin glass

    Ohzeki Masayuki

    Meeting abstracts of the Physical Society of Japan   67 ( 1 )   314 - 314   2012.3

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  • スピングラスの理論

    大関真之

    日本物理学会講演概要集   67 ( 1 )   2012

  • Quantum Annealing

    OHZEKI Masayuki, NISHIMORI Hidetoshi

    Butsuri   66 ( 4 )   252 - 258   2011.4

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    Quantum annealing is a generic algorithm intended for solving optimization problems by using quantum fluctuations. This algorithm can be regarded as a generic technique in quantum computation. Quantum annealing is very simple and yet applicable in principle to any optimization problems. It is also closely related to quantum adiabatic algorithm. In this article, we elucidate the current status and present a future outlook for quantum annealing.

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  • 25aTE-5 Nonequilibrium relations for spin glasses in magnetic fields

    Katsuda Hitoshi, Ohzeki Masayuki, Nishimori Hidetoshi

    Meeting abstracts of the Physical Society of Japan   66 ( 1 )   282 - 282   2011.3

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  • 25aTE-4 Population annealing based on a non-equilibrium relation

    Hukushima K., Ohzeki M.

    Meeting abstracts of the Physical Society of Japan   66 ( 1 )   281 - 281   2011.3

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  • 28aTD-7 Critical Phenomena in random-field Ising model and high dimensional interference channel

    Ohzeki Masayuki, Tanaka Toshiyuki

    Meeting abstracts of the Physical Society of Japan   66 ( 1 )   342 - 342   2011.3

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  • Nonequilibrium relations in spin glasses Reviewed

    Masayuki Ohzeki, Hidetoshi Nishimori

    PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES   43 ( 3 )   782 - 785   2011.1

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  • Quantum annealing with Jarzynski equality Reviewed

    Masayuki Ohzeki, Hidetoshi Nishimori

    COMPUTER PHYSICS COMMUNICATIONS   182 ( 1 )   257 - 259   2011.1

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  • Zero-temperature complex replica zeros of the +/- J Ising spin glass on mean-field systems and beyond Reviewed

    Tomoyuki Obuchi, Yoshiyuki Kabashima, Hidetoshi Nishimori, Masayuki Ohzeki

    PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES   43 ( 3 )   786 - 789   2011.1

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  • Jarzynski Equality for an Energy-Controlled System Reviewed

    Hitoshi Katsuda, Masayuki Ohzeki

    INTERNATIONAL SYMPOSIUM: NANOSCIENCE AND QUANTUM PHYSICS 2011 (NANOPHYS'11)   302 ( 1 )   2011

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  • Nonequilibrium work performed in quantum annealing Reviewed

    Masayuki Ohzeki, Hidetoshi Nishimori

    INTERNATIONAL SYMPOSIUM: NANOSCIENCE AND QUANTUM PHYSICS 2011 (NANOPHYS'11)   302 ( 1 )   2011

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  • 23pTH-4 Real space renormalization analysis of transverse field Blume-Emery-Griffiths model

    Osanai Atsuki, Ohzeki Masayuki, Nishimori Hidetoshi

    Meeting abstracts of the Physical Society of Japan   65 ( 2 )   224 - 224   2010.8

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  • 25pTD-4 Phase transition in magnetic recording read-out

    Ohzeki Masayuki, Tanaka Toshiyuki

    Meeting abstracts of the Physical Society of Japan   65 ( 2 )   281 - 281   2010.8

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  • 23pTH-3 Jarzynski equality for spin glasses with gauge symmetry

    Ohzeki Masayuki, Nishimori Hidetoshi

    Meeting abstracts of the Physical Society of Japan   65 ( 2 )   224 - 224   2010.8

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  • 23aEH-1 Relevance of quenched randomness from duality analysis

    Ohzeki Masayuki, Katzgraber Helmut G., Bombin Hector, Martin Delgado Miguel Angel

    Meeting abstracts of the Physical Society of Japan   65 ( 1 )   345 - 345   2010.3

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  • Extending Jarzynski Equality to General Langevin System Reviewed

    Yuki Sughiyama, Masayuki Ohzeki

    2010

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    DOI: 10.1016/j.physe.2010.07.053

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  • スピングラス模型の臨界点と双対変換-厳密解を求めて-

    大関真之

    物性研究   94 ( 4 )   2010

  • 27aQF-1 Analytical evidence for the absence of spin glass transition on self-dual lattices

    Ohzeki Masayuki, Nishimori Hidetoshi

    Meeting abstracts of the Physical Society of Japan   64 ( 2 )   202 - 202   2009.8

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  • 27aTJ-12 Bond dilution in 2D q state Potts model

    Komura Yukihiro, Okabe Yutaka, Ohzeki Masayuki

    Meeting abstracts of the Physical Society of Japan   64 ( 1 )   265 - 265   2009.3

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  • 20aVC-11 Duality Analysis for Precise Locations of Critical Points in Random Spin Systems

    Ohzeki Masayuki, Nishimori Hidetoshi

    Meeting abstracts of the Physical Society of Japan   63 ( 2 )   198 - 198   2008.8

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  • 26pWF-9 A precise derivation for the location of the multicritical point on the hierarchical lattice

    Ohzeki Masayuki, Nishimori Hidetoshi, Berker A.Nihat

    Meeting abstracts of the Physical Society of Japan   63 ( 1 )   345 - 345   2008.2

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  • 22aTJ-3 Multicritical points for the hierarchical lattices

    Ohzeki Masayuki, Nishimori Hidetoshi, Berker A. N.

    Meeting abstracts of the Physical Society of Japan   62 ( 2 )   274 - 274   2007.8

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  • 18pWA-3 Multicritical points of the q=2 state Potts spin glass with, two- and three-body interactions

    Ohzeki Masayuki

    Meeting abstracts of the Physical Society of Japan   62 ( 1 )   242 - 242   2007.2

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  • 23aXD-3 Multicritical point of the Potts Spin glass with three-body interactions

    Ohzeki Masayuki, Nishimori Hidetoshi

    Meeting abstracts of the Physical Society of Japan   61 ( 2 )   169 - 169   2006.8

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  • 27pRD-3 Multicritical point of the ±J Ising model on the triangular lattice

    Nishimori H., Ohzeki M.

    Meeting abstracts of the Physical Society of Japan   61 ( 1 )   261 - 261   2006.3

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  • 21aXE-5 The Exact solution for the energy of the Potts model with two- and three- site interactions

    Oseki Masayuki, Nishimori Hidetoshi

    Meeting abstracts of the Physical Society of Japan   60 ( 2 )   179 - 179   2005.8

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Presentations

  • Statistical mechanical analysis of Hamiltonian estimation of Ising spin glass based on the framework of statistical query learning International conference

    Takahashi Chako, OHZEKI Masayuki, Okada Shuntaro, Terabe Masayoshi, Taguchi Shinichiro, Tanaka Kazuyuki

    Quantum Machine Learning & Biomimetic Quantum Technologies  2018.3 

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    Language:English  

    Venue:Paraninfo of the Faculty of Science and Technology University of the Basque Country, Leioa (Spain)  

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  • 量子速度限界の古典対応物

    奥山 真佳, 大関 真之

    日本物理学会第73回年次大会  2018.3 

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    Venue:東京理科大学 野田キャンパス 千葉県野田市  

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  • 詳細つりあいを破ったMetropolis法の拡張

    一木 輝久, 大関 真之

    日本物理学会第73回年次大会  2018.3 

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    Venue:東京理科大学 野田キャンパス 千葉県野田市  

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  • 多体グリーン関数の自然な疎表現と計算物理学への応用

    品岡 寛, 大槻 純也, 大関 真之, 吉見 一慶

    日本物理学会第73回年次大会  2018.3 

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    Venue:東京理科大学 野田キャンパス 千葉県野田市  

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  • 中性子散乱におけるスパースモデリングの応用

    世永 公輝, 林田 翔平, 大関 真之, 益田 隆嗣

    日本物理学会第73回年次大会  2018.3 

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    Venue:東京理科大学 野田キャンパス 千葉県野田市  

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  • 3D reconstruction of TEM-CT via D-Wave International conference

    Masamichi J. Miyama, Chihiro H. Nakajima, Masayuki Ohzeki

    Quantum Machine Learning & Biomimetic Quantum Technologies  2018.3 

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    Venue:Paraninfo of the Faculty of Science and Technology University of the Basque Country, Leioa (Spain)  

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  • Quantum annealing for deep neural network International conference

    OHZEKI Masayuki, Okada Shuntaro, Terabe Masayoshi, Taguchi Shinichiro

    Quantum Machine Learning & Biomimetic Quantum Technologies  2018.3 

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    Venue:Paraninfo of the Faculty of Science and Technology University of the Basque Country, Leioa (Spain)  

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  • The application of D-wave 2000Q to detect quantum phase transition by deep neural network International conference

    Arai Shunta, OHZEKI Masayuki, Tanaka Kazuyuki

    Quantum Machine Learning & Biomimetic Quantum Technologies  2018.3 

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    Venue:Paraninfo of the Faculty of Science and Technology University of the Basque Country, Leioa (Spain)  

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  • Exponential Acceleration of Grover’s Search by Imaginary-Time Quantum Annealing International conference

    Okada Shuntaro, OHZEKI Masayuki

    Quantum Machine Learning & Biomimetic Quantum Technologies  2018.3 

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    Venue:Paraninfo of the Faculty of Science and Technology University of the Basque Country, Leioa (Spain)  

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  • Accelerated Langevin dynamics and its application to machine learning Invited International conference

    OHZEKI Masayuki

    Fourth Workshop on Tensor Network States Algorithms and Applications  2016.12 

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    Venue:National Tsing Hua University Hsinchu, Taiwan  

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  • スパース正則化入門- 今さらL1ノルム?今こそL1ノルム!- Invited

    大関 真之

    第19回情報論的学習理論ワークショップ(IBIS2016)  2016.11 

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    Venue:京都大学 吉田キャンパス 京都府京都市左京区  

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  • 量子アニーリングが拓く機械学習と計算技術の新時代 Invited

    大関 真之

    コンピュテーション研究会(COMP)  2016.12 

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    Language:Japanese  

    Venue:広島大学 東広島キャンパス 広島県東広島市  

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  • Tutorial on Machine learning - toward deep learning from physics - Invited International conference

    OHZEKI Masayuki

    Fourth Workshop on Tensor Network States Algorithms and Applications  2016.12 

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    Venue:National Tsing Hua University Hsinchu, Taiwan  

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  • Sparse modeling: how to solve the ill-posed problem Invited International conference

    OHZEKI Masayuki

    Machine Learning and Many-Body Physics  2017.7 

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    Venue:KITS, UCAS Zhong-Guan-Cun Campus Beijing, China  

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  • 量子アニーリングにおける負符号問題の解消と応用

    大関 真之

    日本物理学会2016年秋季大会  2016.9 

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    Venue:金沢大学 角間キャンパス 石川県金沢市  

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  • 深層学習vsスパースモデリング Invited

    OHZEKI Masayuki

    GPU Technology Conference Japan 2016  2016.10 

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  • 詳細釣り合いの破れを利用したXYマシンの緩和の加速

    一木輝久, 大関真之, 大木健太郎

    日本物理学会2016年秋季大会  2016.9 

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    Venue:金沢大学 角間キャンパス 石川県金沢市  

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  • 量子アニーリングが拓く計算技術と機械学習の新時代 Invited

    大関 真之

    量子システム推定の数理  2016.10 

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    Language:Japanese  

    Venue:京都大学数理解析研究所 京都府京都市左京区  

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  • Statistical Mechanics of pre-training and fine tuning in deep learning Invited International conference

    OHZEKI Masayuki

    The 23rd International Conference on Neural Information Processing (ICONIP 2016)  2016.10 

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    Venue:Clock Tower Centennial Hall, Kyoto University Kyoto, Japan  

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  • Population annealing with gauge symmetry against critical slowing down

    East Asia Joint Symposia on Statistical Physics  2012.3  Suzhou University, China

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  • Avoiding negative sign problem in simulation of quantum annealing International conference

    OHZEKI Masayuki

    Adiabatic Quantum Computing Conference 2016 (AQC2016)  2016.6 

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    Venue:Google Los Angeles California, USA  

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  • Population annealing with gauge symmetry and its application

    Rejuvenating Concepts in Glass Physics  2012.3  Institut Henri Poincare, Paris, France

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  • 機械学習に現れる最適化問題と量子アニーリング Invited

    大関 真之

    日本物理学会2016年秋季大会  2016.9 

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    Venue:金沢大学 角間キャンパス 石川県金沢市  

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  • 誰がカンニングを見たか〜大規模データの本質を抽出するスパース性〜 Invited

    大関 真之

    第15回情報科学技術フォーラムFIT2016  2016.9 

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    Venue:富山大学 五福キャンパス 富山県富山市  

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  • Steady-state distributions of network of degenerate optical parametric oscillators International conference

    Miyazaki Ryoji, OHZEKI Masayuki

    Quantum Machine Learning & Biomimetic Quantum Technologies  2018.3 

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    Venue:Paraninfo of the Faculty of Science and Technology University of the Basque Country, Leioa (Spain)  

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  • スパースモデリングを活用した量子モンテカルロデータの 解析接続〜オープンソースソフトウェア紹介および利用事例の紹介

    吉見 一慶, 大槻 純也, 大関 真之, 品岡 寛

    日本物理学会2017年秋季大会  2017.9 

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    Venue:岩手大学 上田キャンパス 岩手県盛岡市  

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  • 圧縮センシングによるイジング相互作用の推定

    高橋 茶子, 岡田 俊太郎, 寺部 雅能, 田口 慎一郎, 大関 真之, 田中 和之

    2017.9 

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    Venue:岩手大学 上田キャンパス 岩手県盛岡市  

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  • Sparse modeling - revolution on various measurements - International conference

    OHZEKI Masayuki

    2017 Bilateral Workshop between Tohoku University and National Tsing Hua University  2017.10 

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    Venue:台湾国立清華大学  

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  • 量子アニーリングの高速化に向けた断熱定理の再考

    岡田俊太郎, 田中宗, 大関真之, 寺部雅能, 田口慎一郎

    日本物理学会2017年秋季大会  2017.9 

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    Venue:岩手大学 上田キャンパス 岩手県盛岡市  

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  • Machine Learning: Introduction and Applications to Monitoring Invited International conference

    OHZEKI Masayuki

    2017 Asia-Pacific-Euro Summer School on Smart Structures Technology(APESS)  2017.7 

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    Venue:YOKOHAMA National University Kanagawa, Japan  

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  • Sparse modeling: a revolution on various measurements Invited International conference

    OHZEKI Masayuki

    Data Science Summer School  2017.7 

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    Venue:Universität Göttingen Göttingen, Germany  

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  • Sparse modeling for quantum Monte-Carlo simulation Invited International conference

    OHZEKI Masayuki

    International Meeting on “High-Dimensional Data-Driven Science” (HD3-2017)  2017.9 

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  • Quantum Annealing - a new paradigm for machine learning and computation Invited International conference

    OHZEKI Masayuki

    7th Summer School on Semiconductor/Superconducting Quantum Coherence Effect and Quantum Information  2017.8 

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    Venue:Hotel LAFORET SHUZENJI Shizuoka, Japan  

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  • エネルギーの観点から見た詳細つりあいを破る マルコフ連鎖モンテカルロ法

    一木 輝久, 大関 真之

    2017.9 

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    Venue:岩手大学 上田キャンパス 岩手県盛岡市  

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  • Simulated annealingを用いた低ランク行列補完

    三上 譲治, 関 優也, 片岡 駿, 大関 真之, 田中 和之

    日本物理学会2017年秋季大会  2017.9 

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    Venue:岩手大学 上田キャンパス 岩手県盛岡市  

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Industrial property rights

  • 情報処理装置、情報処理システム、情報処理方法、プログラム、及び記録媒体

    須藤 渉一, 瀬尾 俊, 青木 俊紘, 大関 真之

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    Applicant:ソフトバンク株式会社

    Application no:特願2024-092488  Date applied:2024.6

    Announcement no:特開2025-184224  Date announced:2025.12

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  • 最適化システム、最適化方法及びプログラム

    大関 真之

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    Applicant:国立大学法人東北大学

    Application no:特願2023-002994  Date applied:2023.1

    Announcement no:特開2024-099215  Date announced:2024.7

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  • 生産計画を適正化する方法、プログラム、及び、装置

    荻莊 裕太, 高井良 柾紀, 大関 真之

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    Applicant:JX金属株式会社

    Application no:特願2022-054502  Date applied:2022.3

    Announcement no:特開2023-147004  Date announced:2023.10

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  • 生産計画を適正化する方法、プログラム、及び、装置

    荻莊 裕太, 高井良 柾紀, 大関 真之

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    Applicant:JX金属株式会社

    Application no:特願2022-054502  Date applied:2022.3

    Announcement no:特開2023-147004  Date announced:2023.10

    Patent/Registration no:特許第7485714号  Date registered:2024.5 

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  • 最適化問題求解装置及び最適化問題求解方法

    山口 収, 大関 真之

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    Applicant:JFEスチール株式会社, 国立大学法人東北大学

    Application no:特願2021-167709  Date applied:2021.10

    Announcement no:特開2023-057945  Date announced:2023.4

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  • 最適化問題求解装置及び最適化問題求解方法

    山口 収, 大関 真之

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    Applicant:JFEスチール株式会社, 国立大学法人東北大学

    Application no:特願2021-167709  Date applied:2021.10

    Announcement no:特開2023-057945  Date announced:2023.4

    Patent/Registration no:特許第7526155号  Date registered:2024.7 

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  • 情報処理システム、コンピュータシステム及び方法

    大関 真之, 観山 正道

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    Applicant:株式会社シグマアイ

    Application no:特願2021-058257  Date applied:2021.3

    Announcement no:特開2022-154973  Date announced:2022.10

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  • 組合せ最適化問題処理システム、組合せ最適化問題処理方法及びプログラム

    大関 真之

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    Applicant:国立大学法人東北大学

    Application no:特願2021-531781  Date applied:2021.3

    Patent/Registration no:特許第6937539号  Date registered:2021.9 

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  • 組合せ最適化問題処理装置、組合せ最適化問題処理方法及びプログラム

    大関 真之

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    Applicant:国立大学法人東北大学

    Application no:JP2020039702  Date applied:2020.10

    Patent/Registration no:特許第7579579号  Date registered:2024.10 

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  • 画像処理装置、画像処理方法及びプログラム

    大関 真之, 越川 亜美, 井口 大輔, 田附 匡, 中嶋 誠, 鈴木 淳

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    Applicant:国立大学法人東北大学, 東北電力株式会社

    Application no:特願2020-112643  Date applied:2020.6

    Announcement no:特開2022-011479  Date announced:2022.1

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  • 画像処理装置、画像処理方法及びプログラム

    大関 真之, 越川 亜美, 井口 大輔, 田附 匡, 中嶋 誠, 鈴木 淳

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    Applicant:国立大学法人東北大学, 東北電力株式会社

    Application no:特願2020-112643  Date applied:2020.6

    Announcement no:特開2022-011479  Date announced:2022.1

    Patent/Registration no:特許第7466862号  Date registered:2024.4 

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  • 情報処理システム、情報処理方法及びプログラム

    大関 真之

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    Applicant:株式会社シグマアイ

    Application no:特願2020-090923  Date applied:2020.5

    Announcement no:特開2021-189497  Date announced:2021.12

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  • 情報処理システム、情報処理方法及びプログラム

    大関 真之

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    Applicant:株式会社シグマアイ

    Application no:特願2020-090923  Date applied:2020.5

    Announcement no:特開2021-189497  Date announced:2021.12

    Patent/Registration no:特許第7486161号  Date registered:2024.5 

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  • 組合せ最適化問題処理装置、組合せ最適化問題処理方法及びプログラム

    大関 真之

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    Applicant:株式会社シグマアイ

    Application no:特願2019-171290  Date applied:2019.9

    Announcement no:特開2021-047780  Date announced:2021.3

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  • 組合せ最適化問題処理装置、組合せ最適化問題処理方法及びプログラム

    大関 真之

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    Applicant:株式会社シグマアイ

    Application no:特願2019-171290  Date applied:2019.9

    Announcement no:特開2021-047780  Date announced:2021.3

    Patent/Registration no:特許第7374459号  Date registered:2023.10 

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  • 組合せ最適化システム及び組合せ最適化方法

    岡田 俊太郎, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2019-058191  Date applied:2019.3

    Announcement no:特開2020-160685  Date announced:2020.10

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  • 変数埋込方法及び処理システム

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2019-058504  Date applied:2019.3

    Announcement no:特開2020-004384  Date announced:2020.1

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  • 組合せ最適化システム及び組合せ最適化方法

    岡田 俊太郎, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2019-058191  Date applied:2019.3

    Announcement no:特開2020-160685  Date announced:2020.10

    Patent/Registration no:特許第7153257号  Date registered:2022.10 

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  • 変数埋込方法及び処理システム

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2019-058504  Date applied:2019.3

    Announcement no:特開2020-004384  Date announced:2020.1

    Patent/Registration no:特許第7182173号  Date registered:2022.11 

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  • シミュレーション装置、コンピュータプログラム及びシミュレーション方法

    大関 真之

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    Applicant:国立大学法人京都大学

    Application no:特願2018-212345  Date applied:2018.11

    Announcement no:特開2020-080006  Date announced:2020.5

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  • 経路推定システム、経路推定方法、及び経路推定プログラム

    三木 彰, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2018-176928  Date applied:2018.9

    Announcement no:特開2020-046384  Date announced:2020.3

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  • 経路推定システム、経路推定方法、及び経路推定プログラム

    三木 彰, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2018-176928  Date applied:2018.9

    Announcement no:特開2020-046384  Date announced:2020.3

    Patent/Registration no:特許第7092304号  Date registered:2022.6 

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  • 画像処理装置、コンピュータプログラム及び画像補完方法

    曽我部 舞奈, 大関 真之, 瀬原 淳子

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    Applicant:国立大学法人京都大学

    Application no:JP2018022618  Date applied:2018.6

    Publication no:WO2018-230615  Date published:2018.12

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  • 連続最適化問題の大域的探索装置及びプログラム

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2018-045428  Date applied:2018.3

    Announcement no:特開2019-159782  Date announced:2019.9

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  • 連続最適化問題の大域的探索装置及びプログラム

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2018-045428  Date applied:2018.3

    Announcement no:特開2019-159782  Date announced:2019.9

    Patent/Registration no:特許第6993909号  Date registered:2021.12 

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  • 評価関数変換装置及びプログラム

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2017-166979  Date applied:2017.8

    Announcement no:特開2019-046038  Date announced:2019.3

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  • 評価関数変換装置及びプログラム

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2017-166979  Date applied:2017.8

    Announcement no:特開2019-046038  Date announced:2019.3

    Patent/Registration no:特許第6951155号  Date registered:2021.9 

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  • 連続最適化問題の大域的探索装置及びプログラム

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2017-155490  Date applied:2017.8

    Announcement no:特開2018-156619  Date announced:2018.10

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  • 連続最適化問題の大域的探索装置及びプログラム

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2017-155490  Date applied:2017.8

    Announcement no:特開2018-156619  Date announced:2018.10

    Patent/Registration no:特許第7045150号  Date registered:2022.3 

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  • 連続最適化問題の大域的探索装置及びプログラム

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人東北大学

    Application no:特願2017-051551  Date applied:2017.3

    Announcement no:特開2018-156281  Date announced:2018.10

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  • 連続値最適化問題の非線形最適化プログラム、経路探索プログラム、及び経路探索装置

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人京都大学

    Application no:特願2016-231278  Date applied:2016.11

    Announcement no:特開2018-087753  Date announced:2018.6

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  • 連続値最適化問題の非線形最適化プログラム、経路探索プログラム、及び経路探索装置

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人京都大学

    Application no:特願2016-231278  Date applied:2016.11

    Announcement no:特開2018-087753  Date announced:2018.6

    Patent/Registration no:特許第6603197号  Date registered:2019.10 

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  • シミュレーション装置、コンピュータプログラム及びシミュレーション方法

    大関 真之

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    Applicant:国立大学法人京都大学

    Application no:特願2016-206265  Date applied:2016.10

    Announcement no:特開2018-067200  Date announced:2018.4

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  • 連続値最適化問題の大域的探索装置及びプログラム

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人京都大学

    Application no:特願2016-171776  Date applied:2016.9

    Announcement no:特開2018-037003  Date announced:2018.3

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  • 連続値最適化問題の大域的探索装置及びプログラム

    岡田 俊太郎, 寺部 雅能, 大関 真之

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    Applicant:株式会社デンソー, 国立大学法人京都大学

    Application no:特願2016-171776  Date applied:2016.9

    Announcement no:特開2018-037003  Date announced:2018.3

    Patent/Registration no:特許第6718338号  Date registered:2020.6 

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Awards

  • 平成28年度文部科学大臣表彰若手科学者賞

    2016.4   文部科学省   量子情報理論を拓く有限次元スピングラス理論に関する研究

    大関真之

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    Award type:International academic award (Japan or overseas)  Country:Japan

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Research Projects

  • Development of Robust Quantum Error Correction by Continuous-Time Quantum Feedback Control

    Grant number:23H01432  2023.4 - 2026.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Grant amount:\18590000 ( Direct Cost: \14300000 、 Indirect Cost:\4290000 )

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  • Development of Robust Quantum Error Correction by Continuous-Time Quantum Feedback Control

    Grant number:23K26126  2023.4 - 2026.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

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    Grant amount:\18590000 ( Direct Cost: \14300000 、 Indirect Cost:\4290000 )

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  • Development of theory and technology for quantum error correction based on quantum control theory

    Grant number:20H02168  2020.4 - 2023.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

    Tsumura Koji

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    Grant amount:\16120000 ( Direct Cost: \12400000 、 Indirect Cost:\3720000 )

    In this research, we aim to advance quantum error correction, which is a key technology for realizing quantum computers. We focus on the error correction process, which consists of “error detection” (observation of quantum state) and “error correction” (manipulation to quantum state) based on the detected signal, and obtain various results on the estimation of quantum state and design and generation methods of quantum error correction codes. Specifically, we have the following results; 1. physically realistic quantum coding and decoding methods and their robustness against thermal noise, 2. quantum adaptive control, 3. analysis of reasonable quantum information for quantum estimation, 4. quantum state smoothing, 5. quantum annealer performance analysis, 6. noise-driven quantum annealing, 7. analysis of quantum Ising model, and 8. estimation of quantum Ising model.

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  • Quantum-Annealing Assisted Innovative Material Informatics Infrastructure

    Grant number:19H01095  2019.4 - 2023.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (A)

    Kobayashi Hiroaki

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    Grant amount:\45110000 ( Direct Cost: \34700000 、 Indirect Cost:\10410000 )

    In this research, we have developed a next-generation high-performance computing infrastructure that integrates conventional high-performance computing technology with quantum computing technology, which is expected to become the information processing technology of the post-Moore era. Furthermore, by utilizing this computational infrastructure, we realized a high-performance polymer material design and development platform by integrating computational science and data science. This high-performance polymer material design platform has made it possible to clarify the physical properties of polymer materials on a scale and with a precision that cannot be achieved with conventional computational techniques. Furthermore, the establishment of a high-performance, high-quality clustering technique using quantum annealing technology has demonstrated the possibility of developing new material candidates that cannot be found by conventional methods.

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  • Realization of first-principles calculations of magnetism and superconductivity by compression of high-dimensional data

    Grant number:18H01158  2018.4 - 2021.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

    Otsuki Junya

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    Grant amount:\17420000 ( Direct Cost: \13400000 、 Indirect Cost:\4020000 )

    Strongly correlated electron compounds offers various practically useful functionalities such as magnetism and superconductivity. The susceptibility represents the response to an external field, and plays an important role in understanding their physical properties. However, calculations of the susceptibility for realistic strongly correlated compounds have not been realized due to the difficulty in numerical calculations. Applying data science approaches, this project has achieved important progress toward the realization of susceptibility calculations for strongly correlated compounds.

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  • Creation of design theory of quantum statistical machine learning system and its realization

    Grant number:18H03303  2018.4 - 2021.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

    Kazuyuki Tanaka

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    Grant amount:\17290000 ( Direct Cost: \13300000 、 Indirect Cost:\3990000 )

    Some formulations of supervised learning of probabilistic graphical models by conventional belief propagation methods have extended to supervised learning by means of density matrices from the standpoint of quantum mechanical version of cluster variational method. The formulations for quantum statistical supervised learning was released as the book chapter of English book (https://doi.org/10.1007/978-981-16-4095-7_10). Furthermore, we have shown that good performance can be expected in the quantum statistical machine learning systems with low-dimensional state vectors for some application examples such as image generation.

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  • Material Function Estimation Based on Real Space Observation

    Grant number:17H06469  2017.6 - 2022.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

    Ichiki Akihisa

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    Grant amount:\52130000 ( Direct Cost: \40100000 、 Indirect Cost:\12030000 )

    The use of machine learning for the development of highly functional materials is the main focus of materials informatics. However, for the safety of the materials development, it is necessary to explain the predicted functions of materials in terms of what humans can understand. In this study, we have investigated the relationship between the structure and function of a material, which are two essential elements of human understanding in materials science, and have shown that the three-dimensional structure of a material and the structure of a material suggested by its molecular formula can indeed be used to predict the physical properties that the material will exhibit. We also clarified the trade-off relation between computation time and computation accuracy for a solver of an optimization problem, which typically appears in the learning phase of machine learning. This is expected to lead to the construction of more efficient machine learning algorithms.

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  • 量子アニーリングで加速する最適化技術の実用化

    2017 - 2018

    科学技術振興機構  産学が連携した研究開発成果の展開 研究成果展開事業 大学発新産業創出プログラム(START) 起業実証支援 

    大関 真之

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    Authorship:Principal investigator 

    本プロジェクトでは、従来のコンピューター・プログラムによる処理では難しかった、「巡回セールスマン問題」に代表される最適化問題を、量子アニーリング技術を応用して、高速に解決する新規のアプリケーションを開発する。最適化問題の課題解決により、社会貢献するベンチャーを設立する。

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  • Innovative machine learning algorithm driven by violation of detailed balance condition

    Grant number:16K13849  2016.4 - 2019.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Challenging Exploratory Research

    Ohzeki Masayuki

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    Grant amount:\3640000 ( Direct Cost: \2800000 、 Indirect Cost:\840000 )

    This study is to develop an innovative algorithm in the field of machine learning that uses classical stochastic processes, based on the fact that the convergence to steady state accelerates when the detailed balance is broken.
    Starting with Physical Review E 93 (2016) 012129 in 2016, we understand the role played by detailed balance as a physical process, go beyond classical stochastic processes, and step into quantum stochastic processes to create diverse algorithms I aimed at. The basic theory for exploiting quantum systems that are difficult to handle due to the presence of the negative sign problem was developed in Scientific Reports, (2017) 41186, and in scientific reports, 8 (2018) 9950, machine learning utilizing quantum fluctuation A demonstration experiment of the algorithm was conducted.

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  • Fusion of Control/Quantum/Information Theories for Quantum Control Technology

    Grant number:16H04382  2016.4 - 2019.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

    Tsumura Koji, Hara Shinji, Ohta Kaito

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    Grant amount:\14690000 ( Direct Cost: \11300000 、 Indirect Cost:\3390000 )

    In this research, we aim to establish theories over three fields including control theory, quantum mechanics, and information theory by fusing quantum feedback (FB) control theory, quantum estimation, and quantum computation. In detail, we derived the following results; (I: control) quantum FB control of an optical cavity under measurement constraints, large-scale FB control with local measurement and operations, FB control of thermodynamics under limitation of channel capacity, (II: quantum estimation) generalization of quantum smoothing, projection measurements selection and performance estimation, non-informative prior of the quantum statistical model based on game theory, (III: quantum computation) new methods for quantum annealing and performance improvement by FB control, and deterministic quantum annealing EM algorithm.

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  • New era driven by quantum annealing for machine learning and computation

    Grant number:15H03699  2015 - 2018

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (B)

    Ohzeki Masayuki

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\5200000 ( Direct Cost: \4000000 、 Indirect Cost:\1200000 )

    Two achievements have been attained with regard to "the relationship between prime factorization and computational complexity" and "the use of non-trivial quantum fluctuation of quantum annealing" mentioned in the subjects of basic research B.
    For the former, the free energy shape is clarified by analyzing the structure of energy and entropy for prime number decomposition.
    The latter half of the result is a large progress that is never predicted, and even for non stoquastic systems that can not be simulated by the quantum Monte Carlo method in a straightforward way, the quantum Monte Carlo method can be implemented using an adaptive transverse magnetic field.

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  • Statistical mechanics study for prime factorization

    Grant number:26610111  2014.4 - 2017.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Challenging Exploratory Research

    Nakajima Chihiro, OHZEKI MASAYUKI

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    Grant amount:\2990000 ( Direct Cost: \2300000 、 Indirect Cost:\690000 )

    We have studied the statistical-mechanics model of the prime factorization problem via a formulation of the ground-state searching problem. By the analysis of the density of states of two macroscopic quantities, i.e., the energy and the Hamming distance from the correct solutions, leads to two features that are each related to two marked changes in the energy region sampled via Monte Carlo simulation or simulated annealing. One is the peculiar first order phase transition that has the intermediate property between the conventional first-order transition and the second-order one and the other is the convex kink in the density of states.

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  • Approach to sparse modeling based on compressed sensing

    Grant number:25120008  2013.6 - 2018.3

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)

    Tanaka Toshiyuki

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    Grant amount:\68120000 ( Direct Cost: \52400000 、 Indirect Cost:\15720000 )

    In collaboration with the Medical Science team, Planetary Science team and others, we have developed image reconstruction methods from fewer numbers of measurement data in magnetic resonance imaging (MRI) and very long baseline interferometry (VLBI), in which compressed sensing has been utilized. As an example, using one of the proposed methods, we visualized spatio-temporal dynamics of metabolism of glucose injected into a tumor-bearing mouse in vivo via magnetic resonance spectroscopic imaging (MRSI), where one can observe spreading of the injected glucose over the whole body and conversion into lactate within the tumor tissue (the Warburg effect). Without compressed sensing, it takes several hours to acquire data even for a single frame, making measurement of spatio-temporal dynamics impossible. We have thus proved feasibility of the concept that with compressed sensing one can visualize spatio-temporal dynamics of biochemical processes in body non-invasively.

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  • Statistical mechanics and Information processing for optimization and control by nonequilibrium relation

    Grant number:24740263  2012 - 2015

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research  Grant-in-Aid for Young Scientists (B)

    Ohzeki Masayuki

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\4160000 ( Direct Cost: \3200000 、 Indirect Cost:\960000 )

    The research project aims at investigation and proposal for solving optimization problem by use of the various nonequilibrium relation such as fluctuation theorem and Jarzynski equality through analyses of various spin glass models.
    【The first year representative result】Masayuki Ohzeki, Phys. Rev. E 86, 061110 (2012), 【the second year representative result】Akihisa Ichiki and Masayuki Ohzeki, Phys. Rev. E 88, 020101(R) (2013), 【The third year representative result】Masayuki Ohzeki and Akihisa Ichiki, Phys. Rev. E 92, 012105 (2015)

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  • Precise determination of the multicritical point by renormalization group and duality analysis

    Grant number:20740218  2008 - 2012

    Ministry of Education, Culture, Sports, Science and Technology  Grants-in-Aid for Scientific Research(若手研究(B))  若手研究(B)

    Masayuki OHZEKI

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    Authorship:Principal investigator  Grant type:Competitive

    Grant amount:\3510000 ( Direct Cost: \2700000 、 Indirect Cost:\810000 )

    We develop the classical methods in statistical mechanics, duality and renormalization group analysis such that they are applicable to both of the classical and quantum information theory through the special critical point in spin glasses. The study is closely associated with reconsideration of information theory through physics. We perform the following analytical studies ; 1. Establishment to identify the location of the special critical point 2. Consideration on the relationship with the error threshold in quantum information 3. Analysis by aid of the symmetry of the partition function We obtain many outstanding results until the final term of the period supported by the foundation.1. Establishment to identify the location of the special critical point2. Consideration on the relationship with the error threshold in quantum information3. Analysis by aid of the symmetry of the partition functionWe obtain many outstanding results until the final term of the period supported by the foundation.

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Other

  • スピングラス理論を駆使した量子誤り訂正符号の読み出しアルゴリズムの開発

    2016.4

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    誤り訂正符号の高速読み出し技術の開発

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  • 量子人工脳を量子ネットワークでつなぐ高度知識社会基盤の実現

    2016.4

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    コヒーレントイジングマシンの産業利用に向けた応用研究

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