技術解説・論文

デジタルアニーラに関する最新の技術解説資料と研究論文をご紹介します。

アーキテクチャ関連

• 解説：第三世代デジタルアニーラの技術中山寛ほか-
• Description: Third Generation Digital Annealer TechnologyH. Nakayama et al.-
• Jump Markov chains and rejection-free Metropolis algorithmsJ. S. Rosenthal et al.Computational Statistics, 2021
• 3-Regular 3-XORSAT Planted Solutions Benchmark of Classical and Quantum Heuristic OptimizersM. Kowalsky et al.arXiv, 2021
• Replica Exchange MCMC Hardware With Automatic Temperature Selection and Parallel TrialK. Dabiri et al.IEEE Transactions on Parallel and Distributed Systems, 2020
• A Hamiltonian Engine for Radiotherapy OptimizationM. Malekmohammadi et al.EMBC2020
• A Permutational Boltzmann Machine with Parallel Tempering for Solving Combinatorial Optimization ProblemsM. Bagherbeik et al.PPSN2020

応用関連

• Innovation in planning Space Debris removal missions using Artificial Intelligence and Quantum-inspired computingD. Snelling et al.8th European Conference on Space Debris, 2021
• 組合せ最適化問題を超高速に解くデジタルアニーラの材料開発・創薬への応用大淵 真理ほか応用物理 90巻(2021)8号
• Market Graph Clustering via QUBO and Digital AnnealingS. W. Hong et al.J. Risk Financial Manag., 2021
• Optimization of the composition in a composite material for microelectronics application using the Ising modelY. Imanaka et al.Scientific Reports, 2021
• Tackling the Challenge of a Huge Materials Science Search Space with Quantum-Inspired AnnealingK. Hatakeyama-Sato et al.Adv. Intell. Syst., 2021
• アミノ酸間相互作用ポテンシャルにおける光学異性体の影響寺島千絵子ほかJournal of Computer Chemistry, Japan 19巻(2020)4号
• An Ising Framework for Constrained Clustering on Special Purpose HardwareE. Cohen et al.CPAIOR2020
• Angle of Arrival and Time of Flight Estimation as an Ising Energy Minimization ProblemS. Han et al.PIMRC2020
• Graph Distances and ClusteringP. Miasnikof et al.arXiv, 2020
• Distances on a GraphP. Miasnikof et al.COMPLEX NETWORKS 2020
• Regularizing Neural Networks by Stochastically Training Layer EnsemblesA. Labach et al.MLSP2020
• A Framework for Neural Network Pruning Using Gibbs DistributionsA. Labach et al.GLOBECOM2020
• Fast hierarchical coordination using price signal for town-scale home-EMSs aggregation with digital annealerT. Saito et al.ECOS2020
• Combinatorial Optimization-based Hierarchical Management of Residential Energy Systems as Virtual Power PlantT. Saito et al.SICE2020
• Tackling the challenge of a huge materials science search space with quantum-inspired annealingK. Hatakeyama-Sato et al.arXiv, 2020
• Optimization of Planar Magnet Array Using Digital AnnealerA. Maruo et al.IEEE Transactions on Magnetics, 2020
• デジタルアニーラの原理と材料開発への応用實宝秀幸ほか表面と真空 63巻(2020)3号
• Design Optimization of Coils and Magnets in Vibration Energy Harvester Using Digital AnnealerA. Maruo et al.CEFC2020
• Materials informatics approach for design of Si/Ge layered nanostructures with low thermal conductivityN. Takahashi et al.Japanese Journal of Applied Physics, 2020
• Optimization of a Heterogeneous Ternary Li3PO4–Li3BO3–Li2SO4 Mixture for Li-Ion Conductivity by Machine LearningK. Homma et al.The Journal of Physical Chemistry C, 2020
• Alchemical free energy calculations via metadynamics: Application to the theophylline-RNA aptamer complexY. Tanida et al.Journal of Computational Chemistry, 2020
• Digital Annealer for quadratic unconstrained binary optimization: a comparative performance analysisO. Şeker et al.arXiv, 2020
• Routing and Wavelength Assignment with Protection: A Quadratic Unconstrained Binary Optimization ApproachO. Şeker et al.arXiv, 2020
• Real-Time Periodic Advertisement Recommendation Optimization using Ising MachineF. Mo et al.2020 IEEE Big Data
• Digitally Annealed Solution for the Vertex Cover Problem with Application in Cyber SecurityM. Javad-Kalbasi et al.ICASSP2019
• Ising Model Formulation of Outlier Rejection, with Application in WiFi Based PositioningM. T. Rahman et al.ICASSP2019
• Ising-dropout: A Regularization Method for Training and Compression of Deep Neural NetworksH. Salehinejad et al.ICASSP2019
• Digitally Annealed Solution for the Maximum Clique Problem with Critical Application in Cellular V2XZ. Naghsh et al.ICC2019
• Enhancing Medical Imaging Semantic Segmentation Using the Digital AnnealerJ. Wang et al.DSW2019
• From Whole to Parts: Medical Imaging Semantic Segmentation with Very Imbalanced DataJ. Wang et al.GLOBECOM2019
• Ising Dropout with Node Grouping for Training and Compression of Deep Neural NetworksH. Salehinejad et al.GlobalSIP2019
• デジタルアニーラ　実用レベルの組合せ最適化問題を高速に解く専用ハードウェア實宝秀幸応用物理 88巻(2019)6号
• デジタルアニーラを用いた混合冷媒の熱物性最適化塩賀健司ほか日本機械学会　熱工学コンファレンス2019
• Graph Classification of Molecules Using Force Field Atom and Bond TypesH. Jippo et al.Molecular Informatics, 2019