Kosuke Mitarai
Kosuke Mitarai
Verified email at ecs.osaka-u.ac.jp
Cited by
Cited by
Quantum circuit learning
K Mitarai, M Negoro, M Kitagawa, K Fujii
Physical Review A 98 (3), 032309, 2018
Methodology for replacing indirect measurements with direct measurements
K Mitarai, K Fujii
Physical Review Research 1 (1), 013006, 2019
Boosting computational power through spatial multiplexing in quantum reservoir computing
K Nakajima, K Fujii, M Negoro, K Mitarai, M Kitagawa
Physical Review Applied 11 (3), 034021, 2018
Subspace-search variational quantum eigensolver for excited states
KM Nakanishi, K Mitarai, K Fujii
Physical Review Research 1 (3), 033062, 2019
Quantum analog-digital conversion
K Mitarai, M Kitagawa, K Fujii
Physical Review A 99 (1), 012301, 2019
Theory of analytical energy derivatives for the variational quantum eigensolver
K Mitarai, YO Nakagawa, W Mizukami
Physical Review Research 2 (1), 013129, 2020
Variational Quantum Algorithm for Non-equilirium Steady States
N Yoshioka, YO Nakagawa, K Mitarai, K Fujii
arXiv preprint arXiv:1908.09836, 2019
Subspace Variational Quantum Simulator
K Heya, KM Nakanishi, K Mitarai, K Fujii
arXiv preprint arXiv:1904.08566, 2019
Generalization of the Output of a Variational Quantum Eigensolver by Parameter Interpolation with a Low-depth Ansatz
K Mitarai, T Yan, K Fujii
Physical Review Applied 11 (4), 044087, 2019
Machine learning with controllable quantum dynamics of a nuclear spin ensemble in a solid
M Negoro, K Mitarai, K Fujii, K Nakajima, M Kitagawa
arXiv preprint arXiv:1806.10910, 2018
Orbital optimized unitary coupled cluster theory for quantum computer
W Mizukami, K Mitarai, YO Nakagawa, T Yamamoto, T Yan, Y Ohnishi
Physical Review Research 2 (3), 033421, 2020
Constructing a virtual two-qubit gate from single-qubit operations
K Mitarai, K Fujii
arXiv preprint arXiv:1909.07534, 2019
Overhead of the non-local-to-local channel decomposition by quasiprobability sampling
K Mitarai, K Fujii
arXiv preprint arXiv:2006.11174, 2020
Calculating transition amplitudes by variational quantum eigensolvers
Y Ibe, YO Nakagawa, T Yamamoto, K Mitarai, Q Gao, T Kobayashi
arXiv preprint arXiv:2002.11724, 2020
Experimental quantum kernel machine learning with nuclear spins in a solid
T Kusumoto, K Mitarai, K Fujii, M Kitagawa, M Negoro
arXiv preprint arXiv:1911.12021, 2019
Deep Variational Quantum Eigensolver: a divide-and-conquer method for solving a larger problem with smaller size quantum computers
K Fujii, K Mitarai, W Mizukami, YO Nakagawa
arXiv preprint arXiv:2007.10917, 2020
An advanced 2 method enabling thermal conductivity measurement for various sample thicknesses: From thin films to bulk materials
K Mitarai, R Okuhata, J Chikada, T Kaneko, Y Uematsu, Y Komatsubara, ...
Journal of Applied Physics 128 (1), 015102, 2020
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