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Research Papers

Fixstars Amplify powers a wide range of research studies.

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2026
GPU-Accelerated Quantum Annealing-Inspired UAV Path Planning for Smart Agriculture
preprint
Maho Hirahara, Aohan Li
arXiv:2608.25376
A QUBO Formulation for Multi-Material Topology Optimization With Quantum Annealing
Kenshin Nakano, Koji Nishiguchi, Junji Kato
International Journal for Numerical Methods in EngineeringVolume 127, Issue 16 e70405
Explicit and refined QUBO modeling of anomalously reflective metasurfaces for annealing-assisted design optimization
Yuto Kato, Michitaka Ameya, Atsushi Sanada
Scientific Reports (2026)
Optimal Stratification of a Sampling Frame: A Comparative Study of Classical, Quantum, and Quantum-Inspired Approaches
preprint
Marco Ballin, Giulio Barcaroli
arXiv:2608.10787
Formulation-Level Auto-Tuning for QUBO-Based Machine Learning: A Case Study Across Multiple Quantum-Inspired Annealers
preprint
Naoya Mizuki, Takahiro Katagiri, Daichi Mukunoki, Tetsuya Hoshino
arXiv:2607.18774
Geometric Characteristics of Subproblems in Ising-Machine-Assisted Large Neighborhood Search
preprint
Masashi Yamashita, Shu Tanaka
arXiv:2607.05014
Kinetic Monte Carlo-Ising Machine Optimization for Atomistic Inverse Design of Solid Electrolytes
preprint
Ai Koizumi, Tomofumi Tada, Ryo Tamura
arXiv:2606.31261
Evaluating the solution performance of the augmented Lagrangian function on Ising machines
preprint
Shunsuke Awai, Takuro Itoh, Keita Takahashi, Kotaro Tanahashi, Shu Tanaka
arXiv:2606.24241
Joint optimization of electric vehicle routes and charging locations through learning charge constraints using QUBO solvers
Akihisa Okada, Keisuke Otaki, Hiroaki Yoshida
Scientific Reports (2026)
Digital Annealer-Assisted Accuracy-First Quantum Circuit Transpilation with Integrated QUBO Mapping and Routing
preprint
Kazuma Watanabe, Hideaki Kawaguchi, Shin Nishio, Takahiko satoh
arXiv:2605.11500
Improving FMQA via Initial Training Data Design Considering Marginal Bit Coverage in One-Hot Encoding
preprint
Taiga Hayashi, Yuya Seki, Kotaro Terada, Yosuke Mukasa, Shuta Kikuchi, Shu Tanaka
arXiv:2605.04825
Evaluating the Performance of Direct Higher-Order Formulations in Combinatorial Optimization Under Simulated Annealing
Kazuki Ikeuchi, Yoshiki Matsuda, Shu Tanaka
IEEE Access (Volume: 14), Page(s): 65043 - 65055
QUBO Simplification by Singular Value Decomposition and Coefficient Elimination for Ising Machines
Shinnosuke Inaba, Takeru Ota, Nozomu Togawa
IEEE Access (Early Access), Page(s): 1 - 1
Dynamic Variable Selection for subQUBO Annealing Using Hamming Weight
conference
Yoshihito Saito, Koki Mita, Nozomu Togawa
2026 IEEE International Conference on Consumer Electronics (ICCE)
Quantum-inspired Ising machine using sparsified spin connectivity
preprint
Moe Shimada, Koki Awaya, Ryoya Yonemoto, Yu Zhao, Jun-ichi Shirakashi
arXiv:2604.04606
Adaptive Encoding Strategy for Quantum Annealing in Mixed-Variable Engineering Optimization
preprint
Fabian Key, Lukas Freinberger, Mayu Muramatsu, Norbert Hosters
arXiv:2603.17506
Leveraging Non-Exact QUBO Formulation With Quantum Annealing to Optimize 5G Base Station Power Selection
Chihiro Dogo, Kazuhiro Saito, Masashi Tawada, Nozomu Togawa
IEEE Access (Volume: 14), Page(s): 38099 - 38114
Factorization Machine with Quadratic-Optimization Annealing for RNA Inverse Folding and Evaluation of Binary-Integer Encoding and Nucleotide Assignment
preprint
Shuta Kikuchi, Shu Tanaka
arXiv:2602.16643
Quantum-enhanced discrete-event simulation and optimization of sequence-dependent job scheduling with setup times
Christopher Sowinski, Yufei Feng, Simon Schlichte, Oguz Kedilioglu, Jörg Franke, Sebastian Reitelshöfer
Procedia CIRP, Volume 139, 2026, Pages 66-75
Quantum-Inspired Optimization for Traffic Congestion: A QUBO-Based Approach with Simulated Annealing
Toufan Diansyah Tambunan, Andriyan Bayu Suksmono, Ian Joseph Matheus Edward, Rahmat Mulyawan
Journal of Applied Data Sciences, Vol. 7, No. 1, January 2026, pp.686-702
Prime Factorization Using Partially Constrained Multiple Quantum Annealing with Analytical and Pattern-Based Variable Reduction
Xinyi Guo, Geguang Miao, Shinichi Nishizawa, Shinji Kimura, Takashi Sato
IEEE Transactions on Computers ( Early Access ), pp. 1-12
An Ising machine formulation for design updates in topology optimization of flow channels
Yudai Suzuki, Shiori Aoki, Fabian Key, Katsuhiro Endo, Yoshiki Matsuda, Shu Tanaka, Marek Behr, Mayu Muramatsu
SPRINGER NATURE Link, Volume 42, article number 15, (2026)
High-Order Epistasis Detection Using Factorization Machine with Quadratic Optimization Annealing and MDR-Based Evaluation
preprint
Shuta Kikuchi, Shu Tanaka
arXiv:2601.01860
2025
Disaster Rescue Resource Allocation Based on the Ising Model
Kosei Nakamoto, Masahito Kumagai, Masayuki Sato, Kazuhiko Komatsu, Hiroaki Kobayashi
2025 IEEE 18th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)
Comparative evaluation of black-box optimization methods for RAN function placement problem
Shun Furusawa, Chihiro Dogo, Kazuhiro Saito, Yuya Seki, Shuta Kikuchi, Shu Tanaka
IEICE Communications Express ( Early Access ), pp.1-4
Predicting symmetric structures of large crystals with GPU-based Ising machines
Chen Liang, Diptesh Das, Jiang Guo, Ryo Tamura, Zetian Mao, Koji Tsuda
Communications Physics volume 8, Article number: 477 (2025)
General integer factorization algorithm based on Ising machine
Zhang Luo, Yifan Yuan, Zhicheng Wang, Mingche Lai, Pingjing Lu
SpringerOpen
Evaluating the Performance of Direct Higher-Order Formulations in Combinatorial Optimization Problems
preprint
Kazuki Ikeuchi, Yoshiki Matsuda, Shu Tanaka
arXiv:2510.24237
Extending Sample Persistence Variable Reduction for Constrained Combinatorial Optimization Problems
Shunta Ide, Shuta Kikuchi, Shu Tanaka
arXiv:2509.19280
Demonstration of sequential processors with quantum advantage and analysis of classical performance limits
preprint
Shota Tateishi, Wenhao Wang, Baptiste Chevalier, Takafumi Ono, Masahiro Takeoka, Wojciech Roga
arXiv:2509.17584
SOME: Symmetric One-Hot Matching Elector -- A Lightweight Microsecond Decoder for Quantum Error Correction
Xinyi Guo, Geguang Miao, Shinichi Nishizawa, Hiromitsu Awano, Shinji Kimura, Takashi Sato
arXiv:2507.23618
Joint Optimization of Electric Vehicle Routes and Charging Locations Learning Charge Constraints Using QUBO Solver
preprint
Akihisa Okada, Keisuke Otaki, Hiroaki Yoshida
arxiv:2506.04687
Formulation of Correction Term in QUBO Form for Phase-Field Model
Shiori Aoki, Katsuhiro Endo, Yoshiki Matsuda, Yuya Seki, Shu Tanaka, Mayu Muramatsu
WILEY: Volume126, Issue6 30 March 2025 e70019
A black-box optimization method with polynomial-based kernels and quadratic-optimization annealing
preprint
Yuki Minamoto, Yuya Sakamoto
arXiv:2501.04225
2024
An Ising-based Decision Method for Intra Prediction Mode in Video Coding
Takuto Momominami, Naoya Niwa, Masahito Kumagai, Kazuhiko Komatsu, Hiroaki Kobayashi, Hiroe Iwasaki
SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis
Annealing-Assisted Column Generation for Inequality-Constrained Combinatorial Optimization Problems
Hiroshi Kanai, Masashi Yamashita, Kotaro Tanahashi, Shu Tanaka
IEEE Access, vol. 12, pp. 157669-157685, 2024
An Ising Machine Formulation for Design Updates in Topology Optimization of Flow Channels
Yudai Suzuki, Shiori Aoki, Fabian Key, Katsuhiro Endo, Yoshiki Matsuda, Shu Tanaka, Marek Behr, Mayu Muramatsu
arXiv:2411.08405
Advantages of fixing spins in quantum annealing
preprint
Tomohiro Hattori, Hirotaka Irie, Tadashi Kadowaki, Shu Tanaka
arxiv:2410.21924
Implementation of spectral methods on Ising machines: toward flow simulations on quantum annealers
Kenichiro Takagi, Naoki Moriya, Shiori Aoki, Katsuhiro Endo, Mayu Muramatsu, Koji Fukagata
Fluid Dynamics Research
Performance of Domain-Wall Encoding in a Digital Ising Machine
preprint
Shuta Kikuchi, Kotaro Takahashi, Shu Tanaka
arXiv:2410.11198
Determination of stable proton configurations by black-box optimization using an Ising machine
preprint
Jianbo Lin, Tomofumi Tada, Ai Koizumi, Masato Sumita, Koji Tsuda, Ryo Tamura
ChemRxiv. 2024; doi:10.26434/chemrxiv-2024-cfkj4
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
Ryo Tamura, Kenji Nagata, Keitaro Sodeyama, Kensaku Nakamura, Toshiki Tokuhira, Satoshi Shibata, Kazuki Hammura, Hiroki Sugisawa, Masaya Kawamura, Teruki Tsurimoto, Masanobu Naito, Masahiko Demura, Takashi Nakanishi
Science and Technology of Advanced Materials, 25(1)
Possible application of quantum computing in the field of ocean engineering: optimization of an offshore wind farm layout with the Ising model
Hiroshi Kagemoto
J. Ocean Eng. Mar. Energy (2024)
Quadratic Formulation of Mutual Information for Sensor Placement Optimization using Ising and Quantum Annealing Machines
preprint
Yuta Nakano, Shigeyasu Uno
arXiv:2407.14747
A Constraint Programming Approach for QUBO Solving and Quantum Annealing
conference
Philippe Codognet
In Companion Proceedings of the 8th International Conference on the Art, Science, and Engineering of Programming (Programming '24)
Optimization of Player-Combinations in Multiplayer Games
conference
Kuka Toda, Shuta Inoue, Yoshito Tobe
International Conference on Information Networking (ICOIN), Ho Chi Minh City, Vietnam, 2024, pp. 746-750
A Search Method for Binary Codes Compressed to Several Sub-pulses Using Quantum Annealing and Search Experiment by Ising Machine
Keigo Kimura, Hiroshi Takase
Journal of Signal Processing, 2024, Volume 28, Issue 4, Pages 103-106
Quantum annealing-based structural optimization with a multiplicative design update
preprint
Naruethep Sukulthanasorn, Junsen Xiao, Koya Wagatsuma, Shuji Moriguchi, Kenjiro Terada
arXiv:2406.18833
Application of factorization machine with quantum annealing to hyperparameter optimization and metamodel-based optimization in granular flow simulations
Junsen Xiao, Katsuhiro Endo, Mayu Muramatsu, Reika Nomura, Shuji Moriguchi, Kenjiro Terada
Int J Numer Anal Methods Geomech. 2024; 48: 3432–3451
Development of optimization method for truss structure by quantum annealing
Rio Honda, Katsuhiro Endo, Taichi Kaji, Yudai Suzuki, Yoshiki Matsuda, Shu Tanaka, Mayu Muramatsu
Sci Rep 14, 13872 (2024)
Novel real number representations in Ising machines and performance evaluation: Combinatorial random number sum and constant division
Katsuhiro Endo, Yoshiki Matsuda, Shu Tanaka, Mayu Muramatsu
PLoS ONE 19(6): e0304594
Quantum data assimilation: a new approach to solving data assimilation on quantum annealers
Shunji Kotsuki, Fumitoshi Kawasaki, Masanao Ohashi
Nonlin. Processes Geophys., 31, 237–245
Optimization of Storage Assignment in Robotic Mobile Fulfillment System by using the Ising Model
conference
Yasuaki Hikiami, Shin-nosuke Ishikawa
J-STAGE
Formulation and evaluation of ocean dynamics problems as optimization problems for quantum annealing machines
preprint
Takuro Matsuta, Ryo Furue
arXiv:2405.11782
Application of quantum computing techniques in particle tracking at LHC
conference
Wai Yuen Chan, Daiya Akiyama, Koki Arakawa, Sanmay Ganguly, Toshiaki Kaji, Juri Minami, Ryu Sawada, Junichi Tanaka, Koji Terashi, Kohei Yorita
EPJ Web of Conf., 295 (2024) 12001
Comparing QUBO models for quantum annealing: integer encodings for permutation problems
Philippe Codognet
Intl. Trans. in Op. Res., 32: 18-37
Performance Evaluation of CMOS Annealing with Support Vector Machine
preprint
Ryoga Fukuhara, Makoto Morishita, Takahiro Katagiri, Masatoshi Kawai, Toru Nagai, Tetsuya Hoshino
arXiv:2404.15752
Ising Machine Approach to the Lecturer–Student Assignment Problem
Sora Tomita, Tatsuhiko Shirai, Nozomu Togawa
IEEE Access, vol. 12, pp. 49752-49761, 2024
Post-processing variationally scheduled quantum algorithm for constrained combinatorial optimization problems
Tatsuhiko Shirai, Nozomu Togawa
IEEE Transactions on Quantum Engineering, vol. 5, pp. 1-14, 2024, Art no. 3101114
Toward Practical Benchmarks of Ising Machines: A Case Study on the Quadratic Knapsack Problem
Kentaro Ohno, Tatsuhiko Shirai, Nozomu Togawa
IEEE Access, vol. 12, pp. 97678-97690, 2024
Quantum annealing-based algorithm for lattice gas automata
Yuichi Kuya, Kazuhiko Komatsu, Kouki Yonaga, Hiroaki Kobayashi
Computers & Fluids, Volume 274, 2024, 106238
A Formulation of Structural Design Optimization Problems for Quantum Annealing
Fabian Key, Lukas Freinberger
Mathematics 2024, 12, 482
Parallelization of DC Feeding Network Setting Time Reduction of Control Frequency
conference
Kazato Otsu, Haruhisa Ichikawa, Yoshito Tobe, Shinji Yokogawa, Yuusuke Kawakita
2023 Fourteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU), Kyoto, Japan, 2023, pp. 1-2
QUBO formulation using inequalities for problems with complex constraints
conference
Tomoko Komiyama, Tomohiro Suzuki
In Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region (HPCAsia '24)
2023
Dynamic Spectrum Allocation for Bursty Traffic Using Quantum Annealing
conference
Shuta Inoue, Yuusuke Kawakita, Yoshito Tobe
2023 International Conference on Platform Technology and Service (PlatCon), Busan, Korea, Republic of, 2023, pp. 73-78
Prime Factorization Based on Multiple Quantum Annealings on Partial Constraints with Analytical Variable Reduction
conference
Xinyi Guo, Geguang Miao, Shinichi Nishizawa, Shinji Kimura
2023 IEEE 36th International System-on-Chip Conference (SOCC), Santa Clara, CA, USA, 2023, pp. 1-6
Trip Planning Based on subQUBO Annealing
Tatsuya Noguchi, Keisuke Fukada, Siya Bao, Nozomu Togawa
IEEE Access, vol. 11, pp. 100383-100395, 2023
Performance Evaluation of Tsunami Evacuation Route Planning on Multiple Annealing Machines
conference
Yihui Liu, Kazuhiko Komatsu, Masahito Kumagai, Masayuki Sato, Hiroaki Kobayashi
In Proceedings of the 20th ACM International Conference on Computing Frontiers (CF '23)
Generating Presence-Absence Matrices by Quantum Annealing
conference
Philippe Codognet
2023 IEEE/ACM 4th International Workshop on Quantum Software Engineering (Q-SE), Melbourne, Australia, 2023, pp. 9-15
Encoding the At-Most-One Constraint for QUBO and Quantum Annealing: Experiments with the N-Queens problem
conference
Philippe Codognet
In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO '23 Companion)
Linearizing Binary Optimization Problems Using Variable Posets for Ising Machines
Kentaro Ohno, Nozomu Togawa
IEEE Transactions on Emerging Topics in Computing
QUBO.jl: A Julia Ecosystem for Quadratic Unconstrained Binary Optimization
preprint
Pedro Maciel Xavier, Pedro Ripper, Tiago Andrade, Joaquim Dias Garcia, Nelson Maculan, David E. Bernal Neira
arXiv:2307.02577
Chemical design with GPU-based Ising machines
Zetian Mao, Yoshiki Matsuda, Ryo Tamura, Koji Tsuda
Digital Discovery, 2023, 2, 1098-1103
Bit duplication technique to generate hard QUBO problems
conference
Xiaotian Li, Koji Nakano, Yasuaki Ito, Daisuke Takafuji, Takashi Yazane, Junko Yano, Shiro Ozaki, Ryota Katsuki, Rie Mori
2022 Tenth International Symposium on Computing and Networking Workshops (CANDARW), Himeji, Japan, 2022, pp. 180-184
ISAAQ: Ising Machine Assisted Quantum Compiler
preprint
Soshun Naito, Yoshihiko Hasegawa, Yoshiki Matsuda, Shu Tanaka
arXiv:2303.02830
Comparing QUBO Models of the Magic Square Problem for Quantum Annealing
conference
Philippe Codognet
Lecture Notes in Computer Science, vol 13838. Springer, Cham.
A Constrained Graph Coloring Solver Based on Ising Machines
conference
Soma Kawakami, Yosuke Mukasa, Siya Bao, Dema Ba, Junya Arai, Satoshi Yagi, Junji Teramoto, Nozomu Togawa
2023 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 2023, pp. 1-6
A Quasi-Initial Solution Giving Method for Ising Machines by Controlling External Magnetic Field Coefficients
conference
Soma Kawakami, Kentaro Ohno, Dema Ba, Satoshi Yagi, Junji Teramoto, Nozomu Togawa
2023 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 2023, pp. 1-6
Bit duplication technique to generate hard quadratic unconstrained binary optimization problems with adjustable sizes
Xiaotian Li, Koji Nakano, Yasuaki Ito, Daisuke Takafuji, Takashi Yazane, Junko Yano, Takumi Kato, Shiro Ozaki, Rie Mori, Ryota Katsuki
Concurrency Computat Pract Exper. 2024; 36(10):e7967
Training Multi-layer Neural Networks on Ising Machine
preprint
Xujie Song, Tong Liu, Shengbo Eben Li, Jingliang Duan, Wenxuan Wang, Keqiang Li
arXiv:2311.03408
Problem Relaxation Methods for Quantum Minimum Fill-in Algorithm
Tomoko Komiyama, Tomohiro Suzuki
IEEE Access, vol. 11, pp. 114424-114431, 2023
Optimization of Core–Shell Nanoparticles Using a Combination of Machine Learning and Ising Machine
Makoto Urushihara, Masaya Karube, Kenji Yamaguchi, Ryo Tamura
Adv. Photonics Res., 4: 2300226
Nonnegative/Binary matrix factorization for image classification using quantum annealing
Hinako Asaoka, Kazue Kudo
Sci Rep 13, 16527 (2023)
2022
A phase-field model by an Ising machine and its application to the phase-separation structure of a diblock polymer
Katsuhiro Endo, Yoshiki Matsuda, Shu Tanaka, Mayu Muramatsu
Sci Rep 12, 10794 (2022)
Quantum and Digital Annealing for the Quadratic Assignment Problem
conference
Philippe Codognet, Daniel Diaz, Salvador Abreu
2022 IEEE International Conference on Quantum Software (QSW), Barcelona, Spain, 2022, pp. 1-8
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