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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

Transferring linearly fixed QAOA angles: performance and real device results

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


arXiv:2504.12632

Enhancing NDAR with Delay-Gate-Induced Amplitude Damping

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


arXiv:2504.12628

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

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

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



東京大学 伊藤国際学術研究センター, 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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