I am Rihito Sakurai, a researcher working in the field of quantum technology. My current interests include tensor networks, quantum computations, and their applications to practical usages such as material science, finance and so on. I enjoy exploring new ideas across disciplines and collaborations with others fields to push the boundaries of what quantum technologies can achieve.

Publications

• Google Scholar

Preprint

1. R. Sakurai, K. Miyamoto, T. Okubo, Tensor train representations of Greeks for Fourier-based pricing of multi-asset options

Journal Article

1. R. Sakurai, W. Mizukami, and H. Shinaoka, Hybrid quantum-classical algorithm for computing imaginary-time correlation function, Phys. Rev. Research 4, 023219 (2022)

2. 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

3. 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

4. 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.

5. H. Takahashi, R. Sakurai, and H. Shinaoka, Compactness of quantics tensor train representations of local imaginary-time propagators, SciPost Phys. 18, 007 (2025)

6. R. Sakurai, H. Takahashi, K. Miyamoto, Learning parameter dependence for Fourier-based option pricing with tensor trains, Mathematics 2025, 13(11), 1828

7. K. Kinjo, R. Sakurai, T. Kishimoto, and J. Ohkubo, Permutation of Tensor-Train Cores for Computing moments on Stochastic Differential Equations, J. Phys. Soc. Jpn. 94, 084001 (2025)

8. K. Sakaue, H. Shinaoka, R. Sakurai, Adaptive sampling-based optimization of quantized tensor trains for noisy functions: applications to quantum simulations, SciPost Phys. 19, 038 (2025)

Japanese articles

5. 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)

Software

1. QCMaterialNew, "Quantum-classical hybrid algorithms for quantum impurity problems",

2. Dynamical Mean-Field Theory Calculation by IPT

3. Tensor train learning for derivative option pricing

Photo taken at TSUKUBA BREWERY🐸🍺