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Research Paper and Conference

Paper

Geometric Quantum Physics Informed Neural Network

Wai-Hong Tam,

Reza Safari,

Hiromichi Matsuyama



arXiv:2605.02352

Quantum hardware noise learning via differentiable Kraus representation on tensor networks

Ryo Sakai,

Yu yamashiro



arXiv:2604.20804

Tensor Network Generator-Enhanced Optimization for Traveling Salesman Problem

Ryo Sakai,

Chen-Yu Liu



arXiv:2602.20175

Simulated Annealing for Quadratic and Higher-Order Unconstrained Integer Optimization

Kohei Suzuki



arXiv:2511.17245

Extended Factorization Machine Annealing for Rapid Discovery of Transparent Conducting Materials

Daisuke Makino, Tatsuya Goto,

Yoshinori Suga


arXiv:2507.23160

Quantum Annealing with Qubit-Resonator Systems for Simultaneous Optimization of Binary and Continuous Variables

Seiya Endo, Shohei Kawakatsu,

Hiromichi Matsuyama, Kohei Suzuki,

Yuichiro Matsuzaki

Submitted to Jpn. J. Appl. Phys.
arXiv:2506.2010

Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting

Chen-Yu Liu, 

Kuan-Cheng Chen, 

Yi-Chien Chen,

Samuel Yen-Chi Chen,

Wei-Hao Huang, 

Wei-Jia Huang, 

Yen-Jui Chang

arXiv:2505.09395

Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation

Samuel Yen-Chi Chen, 

Chen-Yu Liu,

Kuan-Cheng Chen, 

Wei-Jia Huang,

Yen-Jui Chang, 

Wei-Hao Huang


Learning to Learn with Quantum Optimization via Quantum Neural Networks

Kuan-Cheng Chen,

Hiromichi Matsuyama, Yu Yamashiro

Transferring linearly fixed QAOA angles: performance and real device results

Ryo Sakai, Hiromichi Matsuyama, Wai-Hong Tam, Yu Yamashiro


arXiv:2504.12632

Sampling-based Quantum Optimization Algorithm with Quantum Relaxation

Hiromichi Matsuyama, Yu Yamashiro


Enhancing NDAR with Delay-Gate-Induced Amplitude Damping

Wai-Hong Tam, Hiromichi Matsuyama, Ryo Sakai, Yu Yamashiro


arXiv:2504.12628

Solving Capacitated Vehicle Routing Problem with Quantum Alternating Operator Ansatz and Column Generation

Wei-hao Huang, Hiromichi Matsuyama, Yu Yamashiro


arXiv:2503.17051

Spin-S Ising Models with Multi-Spin Interactions on the One-Dimensional Chain and Two-Dimensional Square Lattice

Kohei Suzuki

Phys. Rev. E 111, 024132 (2025)
arXiv:2410.14360

Quantum Local Search for Traveling Salesman Problem with Path-Slicing Strategy

Chen-Yu Liu,

Hiromichi Matsuyama,

Wei-hao Huang,

Yu Yamashiro

Efficient Internal Strategies in Quantum Relaxation based Branch-and-Bound

Hiromichi Matsuyama, Wei-hao Haung, Kohji Nishimura,and Yu Yamashiro

Linearly simplified QAOA parameters and transferability

Ryo Sakai,

Hiromichi Matsuyama,

Wai-Hong Tam,

Yu Yamashiro,

and Keisuke Fujii

arXiv:2405.00655

Tensor Renormalization Group for fermions

Shinichiro Akiyama,

Yannick Meurice,

and

Ryo Sakai

Accepted for publication in IOP topical review

J. Phys.: Condens. Matter 36 343002 (2024)
arXiv:2401.08542 

Symmetry Breaking in an Extended O(2) Model

Leon Hostetler,

Ryo Sakai,

Jin Zhang,

Alexei Bazavov,

and Yannick Meurice

Tensor network representation of non-abelian gauge theory coupled to reduced staggered fermions

Muhammad Asaduzzaman,

Simon Catterall,

Yannick Meurice,

Ryo Sakai,

and Goksu Can Toga

JHEP 05 (2024) 195
arXiv:2312.16167

Two-parameter counter-diabatic driving in quantum annealing

Luise Prielinger,

Andreas Hartmann,

Yu Yamashiro,

Kohji Nishimura,

Wolfgang Lechner,

and Hidetoshi Nishimori

Mean-Field Solution of the Weak-Strong Cluster Problem for Quantum Annealing with Stoquastic and Non-Stoquastic Catalysts

Kabuki Takada,

Yu Yamashiro,

and Hidetoshi Nishimori

J. Phys. Soc. Jpn. 89, 044001 (2020)

Griffiths-McCoy singularity on the diluted Chimera graph: Monte Carlo simulations and experiments on the quantum hardware

Kohji Nishimura,

Hidetoshi Nishimori,

and Helmut G. Katzgraber

Phys. Rev. A 102, 042403 (2020)

Dynamics of reverse annealing for the fully-connected p-spin model

Yu Yamashiro,

Masaki Ohkuwa,

Hidetoshi Nishimori,

and Daniel A. Lidar

Phys. Rev. A 100, 052321 (2019)

Message-passing algorithm of quantum annealing with nonstoquastic Hamiltonian

Masayuki Ohzeki

J. Phys. Soc. Jpn. 88, 061005 (2019)

International Conference

Quantum Kernel Feature Selection via Quadratic Unconstrained Binary Optimization

Daniel Fadi Feghali, Hasan Almatrouk, Kin Tung Michael Ho,

Kuan-Cheng Chen

, Lily Lee, Jen-Yu Chang, Po-Heng Lee



Colorado, United States(Oral), 2026/6/15-19

2026 IEEE International Conference on Quantum Computing and Engineering (QCE)

Quantum hardware noise learning via differentiable Kraus representation on tensor networks

Ryo Sakai, Yu Yamashiro



Colorado, United States(Oral), 2026/6/15-19

2026 IEEE International Conference on Quantum Computing and Engineering (QCE)
arXiv:2604.20804

Optimizing Optimizations, Declaratively: Optimizing the Higher-Order Functions in Mathematical Optimization with egglog

Hiromi Ishii



Colorado, United States(Oral), 2026/6/15-19

EGRAPHS 2026
arXiv:2605.17884

Solving Capacitated Vehicle Routing Problem with Quantum Alternating Operator Ansatz and Column Generation

Wei-hao Huang, Hiromichi Matsuyama, Yu Yamashiro



Kobe,Japan(Oral)2026/4/6-8

arXiv:2503.17051

Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting

Chen-Yu Liu, 

Kuan-Cheng Chen, 

Yi-Chien Chen,

Samuel Yen-Chi Chen,

Wei-Hao Huang, 

Wei-Jia Huang, 

Yen-Jui Chang

New Mexico, United States(Oral)2025/8/31-9/5

arXiv:2505.09395

Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation

Samuel Yen-Chi Chen, 

Chen-Yu Liu,

Kuan-Cheng Chen, 

Wei-Jia Huang,

Yen-Jui Chang, 

Wei-Hao Huang


Qamomile: A Cross-SDK Bridge for Quantum Optimization

Wei-Hao Huang,

Hiromichi Matsuyama,

Wai-Hong Tam, 

Keisuke Sato,

Yu Yamashiro


New Mexico, United States(Poster)2025/8/31-9/5


Proceedings

Learning to Learn with Quantum Optimization via Quantum Neural Networks

Kuan-Cheng Chen,

Hiromichi Matsuyama, Yu Yamashiro

New Mexico, United States(Oral)2025/8/31-9/5

Sampling-based Quantum Optimization Algorithm with Quantum Relaxation

Hiromichi Matsuyama, Yu Yamashiro


New Mexico, United States(Oral)2025/8/31-9/5

Optimizing Optimizations: Case Study on Detecting Specific Types of Mathematical Optimization Constraints with E-Graphs in JijModeling

Hiromi Ishii



Seoul, South Korea(Oral)2025/6/16-20

Video

Frame Generation in Hilbert Space: Generative Interpolation of Measurement Data for Quantum Parameter Adaptation

Chen-Yu Liu,

Kuan-Cheng Chen, 

Samuel Yen-Chi Chen,

Wei-hao Haung,

Wei-Jia Huang, Yen Jui Chang

Singapore(Poster)2025/4/28

Proceedings

Quantum Local Search for Traveling Salesman Problem with Path-Slicing Strategy

Chen-Yu Liu,

Hiromichi Matsuyama,

Wei-hao Huang,

Yu Yamashiro

Nara,Japan(Oral)2025/3/31-4/2

2025 International Conference on Quantum Communications, Networking, and Computing (QCNC)

Internal Conference

Geometric Quantum Physics Informed Neural Network

Wai-Hong Tam,

Reza Safari,

Hiromichi Matsuyama



Ito International Research Center, The University of Tokyo, 2026/6/2-3

Quantinuum June 2026 Symposium

テンソルネットワーク Born マシンを用いた組合せ最適化問題へのアプローチ:巡回セールスマン問題への適用例と多目的最適化問題への展望

坂井 涼




Tokyo, 2026/5/8

第3回 Quantum CAE 研究会
Slides

数理最適化向け埋め込み型領域特化言語 JijModeling 2 におけるプログラミング言語理論の応用について

石井 大海、清水 太朗、寺村 俊紀




レクザムホール, 2026/03/09

第28回プログラミングおよびプログラミング言語ワークショップ PPL 2026
Slides

在来線乗務員運用計画への 数理最適化の適用と検証

北村 望 (東海旅客鉄道株式会社)、齋藤 竜平 (東海旅客鉄道株式会社)、宮脇 悠




麗澤大学(校舎さつき), 2026/3/4〜6

日本オペレーションズ・リサーチ学会 2026年春季大会
Abstract

数理最適化の実用化を支援するOMMXのデータ形式標準化の取り組み

寺村 俊紀、清水 太朗、石井 大海




大阪国際会議場, 2025/5/30

数理最適化モデル記述ツール JijModeling のご紹介

石井 大海、清水 太朗、寺村 俊紀




大阪国際会議場, 2025/5/30

Invited Talk

行列積密度演算子法による大規模量子回路のノイズシミュレーション

Ryo Sakai

Online, 2026/4/24

第1回 ABCI-Q グランドチャレンジ報告会

行列積密度演算子法による大規模量子回路のノイズシミュレーション

Ryo Sakai

Tsukuba, Ibaraki 2025/12/19

G-QuATaaaalk

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