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R. Sakurai, H. Takahashi, K. Miyamoto, "Learning parameter dependence for Fourier-based option pricing with tensor networks",arXiv:2405.00701
K. Sakaue, H. Shinaoka, R. Sakurai, "Learning tensor trains from noisy functions with application to quantum simulation", arXiv:2405.12730
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.
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