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Koji Inui
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Cited by
Year
Determinant-free fermionic wave function using feed-forward neural networks
K Inui, Y Kato, Y Motome
Physical Review Research 3 (4), 043126, 2021
392021
Channel-selective non-Fermi liquid behavior in the two-channel Kondo lattice model under a magnetic field
K Inui, Y Motome
Physical Review B 102 (15), 155126, 2020
162020
Inverse Hamiltonian design by automatic differentiation
K Inui, Y Motome
Communications Physics 6 (1), 37, 2023
122023
Current numbers of qubits and their uses
T Ichikawa, H Hakoshima, K Inui, K Ito, R Matsuda, K Mitarai, K Miyamoto, ...
Nature Reviews Physics, 1-3, 2024
102024
A comprehensive survey on quantum computer usage: How many qubits are employed for what purposes?
T Ichikawa, H Hakoshima, K Inui, K Ito, R Matsuda, K Mitarai, K Miyamoto, ...
arXiv preprint arXiv:2307.16130, 2023
92023
Inverse Hamiltonian design of highly entangled quantum systems
K Inui, Y Motome
Physical Review Research 6 (3), 033080, 2024
22024
Inverse magnetoconductance design by automatic differentiation
Y Hirasaki, K Inui, E Saitoh
Physical Review B 110 (21), 214201, 2024
2024
Inverse Hamiltonian design of highly-entangled quantum many-body systems
K Inui, Y Motome
Bulletin of the American Physical Society, 2024
2024
Channel-selective non-Fermi liquid behavior in the two-channel Kondo lattice model under a magnetic field (vol 102, 155126, 2020)
K Inui, Y Motome
PHYSICAL REVIEW B 105 (23), 2022
2022
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Articles 1–9