| sparse-ir: Optimal compression and sparse sampling of many-body propagators M Wallerberger, S Badr, S Hoshino, S Huber, F Kakizawa, T Koretsune, ... SoftwareX 21, 101266, 2023 | 41 | 2023 |
| Multiscale space-time ansatz for correlation functions of quantum systems based on quantics tensor trains H Shinaoka, M Wallerberger, Y Murakami, K Nogaki, R Sakurai, P Werner, ... Physical Review X 13 (2), 021015, 2023 | 40 | 2023 |
| Hybrid quantum-classical algorithm for computing imaginary-time correlation functions R Sakurai, W Mizukami, H Shinaoka Physical Review Research 4 (2), 023219, 2022 | 31 | 2022 |
| Learning tensor trains from noisy functions with application to quantum simulation K Sakaue, H Shinaoka, R Sakurai arXiv preprint arXiv:2405.12730, 2024 | 3 | 2024 |
| Learning parameter dependence for Fourier-based option pricing with tensor networks R Sakurai, H Takahashi, K Miyamoto https://arxiv.org/abs/2405.00701v4, 2024 | 3* | 2024 |
| Comparative study on compact quantum circuits of hybrid quantum-classical algorithms for quantum impurity models R Sakurai, OJ Backhouse, GH Booth, W Mizukami, H Shinaoka Physical Review Research 6 (2), 023110, 2024 | 3 | 2024 |
| Compactness of quantics tensor train representations of local imaginary-time propagators H Takahashi, R Sakurai, H Shinaoka SciPost Physics 18 (1), 007, 2025 | | 2025 |
| Solving differential equations for chemical kinetics using quantics tensor train R Sakurai, W Mizukami, Y Mizuno, Y Himeoka, H Shinaoka Bulletin of the American Physical Society, 2024 | | 2024 |
| Compact quantum circuits of variational quantum eigensolver for quantum impurity models R Sakurai, W Mizukami, H Shinaoka APS March Meeting Abstracts 2023, T00. 176, 2023 | | 2023 |
| Quantum-classical hybrid algorithms for computing imaginary-time response functions on noisy intermediate-scale quantum devices R Sakurai, W Mizukami, H Shinaoka APS March Meeting Abstracts 2022, B40. 010, 2022 | | 2022 |
Hiroshi ShinaokaAssociate Professor, Saitama University在 mail.saitama-u.ac.jp 的电子邮件经过验证
