Deep neural network detects quantum phase transition S Arai, M Ohzeki, K Tanaka Journal of the Physical Society of Japan 87 (3), 033001, 2018 | 41 | 2018 |
Mean field analysis of reverse annealing for code-division multiple-access multiuser detection S Arai, M Ohzeki, K Tanaka Physical Review Research 3 (3), 033006, 2021 | 31 | 2021 |
Teacher-student learning for a binary perceptron with quantum fluctuations S Arai, M Ohzeki, K Tanaka Journal of the Physical Society of Japan 90 (7), 074002, 2021 | 17 | 2021 |
Dynamics of order parameters of nonstoquastic Hamiltonians in the adaptive quantum Monte Carlo method S Arai, M Ohzeki, K Tanaka Physical Review E 99 (3), 032120, 2019 | 13 | 2019 |
Effectiveness of quantum annealing for continuous-variable optimization S Arai, H Oshiyama, H Nishimori Physical Review A 108 (4), 042403, 2023 | 8 | 2023 |
Quantum annealing for continuous-variable optimization: How is it effective? S Arai, H Oshiyama, H Nishimori arXiv e-prints, arXiv: 2305.06631, 2023 | 2 | 2023 |
Mean field analysis of reverse annealing for code-division multiple-access multiuser demodulator S Arai, M Ohzeki, K Tanaka arXiv e-prints, arXiv: 2004.11066, 2020 | 1 | 2020 |
Transfer Learning for Deep-Unfolded Combinatorial Optimization Solver with Quantum Annealer R Hagiwara, S Arai, S Takabe arXiv preprint arXiv:2501.03518, 2025 | | 2025 |
Deep unfolded local quantum annealing S Arai, S Takabe Physical Review Research 6 (4), 043325, 2024 | | 2024 |
Dynamical Analysis of Quantum Annealing ACC Coolen, T Nikoletopoulos, S Arai, K Tanaka Sublinear Computation Paradigm: Algorithmic Revolution in the Big Data Era …, 2022 | | 2022 |
Mean-Field Analysis of Sourlas Codes with Adiabatic Reverse Annealing S Arai Sublinear Computation Paradigm: Algorithmic Revolution in the Big Data Era …, 2021 | | 2021 |