K. Sakaue, H. Shinaoka, R. Sakurai, "Learning tensor networks from noisy functions", in preparation
H. Takahashi, R. Sakurai, and H. Shinaoka, "Compactness of quantics tensor train representations of local imaginary-time propagators", arXiv:2403.09161
R. Sakurai, H. Takahashi, K. Miyamoto, "Learning parameter dependence for Fourier-based option pricing with tensor networks",arXiv:2405.00701
R. Sakurai, W. Mizukami, and H. Shinaoka, “Hybrid quantum-classical algorithm for computing imaginary-time correlation function”,Phys. Rev. Research 4, 023219 (2022)
M. Wallerberger, S. Badr, S. Hoshino, F. Kakizawa, T. Koretsune, Y. Nagai, K. Nogaki, T. Nomoto, H. Mori, J. Otsuki, S. Ozaki, R. Sakurai, C. Vogel, N. Witt, K. Yoshimi, H. Shinaoka,"sparse-ir: optimal compression and sparse sampling of many-body propagators", SoftwareX Volume 21, February 2023, 1012661
H. Shinaoka, M. Wallerberger, Y. Murakami, K. Nogaki, R. Sakurai, P. Werner, A. Kauch, "Multi-scale space-time ansatz for correlation functions of quantum systems", Phys. Rev. X 13, 021015
R. Sakurai, O. J. Backhouse, G. H. Booth, W. Mizukami, H. Shinaoka, Comparative study on compact quantum circuits of quantum-classical hybrid algorithms for quantum impurity models, Phys. Rev. Research 6, 023110.
品岡寛, 村上雄太, 野垣康介, 櫻井理人, "Quantics tensor trainに基づく多スケール時空仮説と場の量子論", 物理学会誌「最近の研究から」覧, 2024年2月号(招待あり)