Follow
Shu Kanno
Shu Kanno
Mitsubishi Chemical
No verified email
Title
Cited by
Cited by
Year
Realization of Mott-insulating electrides in dimorphic
Y Lu, J Wang, J Li, J Wu, S Kanno, T Tada, H Hosono
Physical Review B 98 (12), 125128, 2018
342018
Many-body calculations for periodic materials via restricted Boltzmann machine-based VQE
S Kanno, T Tada
Quantum Science and Technology 6 (2), 025015, 2021
17*2021
Excited state calculations using variational quantum eigensolver with spin-restricted ansätze and automatically-adjusted constraints
S Gocho, H Nakamura, S Kanno, Q Gao, T Kobayashi, T Inagaki, ...
npj Computational Materials 9 (1), 13, 2023
102023
Electronic correlation strength of inorganic electrides from first principles
S Kanno, T Tada, T Utsumi, K Nakamura, H Hosono
The Journal of Physical Chemistry Letters 12 (50), 12020-12025, 2021
62021
Resource estimations for the Hamiltonian simulation in correlated electron materials
S Kanno, S Endo, T Utsumi, T Tada
Physical Review A 106 (1), 012612, 2022
52022
Quantum algorithm for the calculation of transition amplitudes in hybrid tensor networks
S Kanno, S Endo, Y Suzuki, Y Tokunaga
Physical Review A 104 (4), 042424, 2021
42021
Quantum computing quantum Monte Carlo with hybrid tensor network toward electronic structure calculations of large-scale molecular and solid systems
S Kanno, H Nakamura, T Kobayashi, S Gocho, M Hatanaka, N Yamamoto, ...
arXiv preprint arXiv:2303.18095, 2023
22023
Quantum algorithm for a chemical reaction path optimization by using a variational quantum algorithm and a reaction path generation
S Kanno
arXiv preprint arXiv:2009.06803, 2020
12020
Quantum computing quantum Monte Carlo with hybrid tensor network for electronic structure calculations
S Kanno
Bulletin of the American Physical Society, 2024
2024
Quantum channel decomposition with preselection and postselection
R Nagai, S Kanno, Y Sato, N Yamamoto
Physical Review A 108 (2), 022615, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–10