| Expressibility of the alternating layered ansatz for quantum computation K Nakaji, N Yamamoto Quantum 5, 434, 2021 | 138 | 2021 |
| Approximate amplitude encoding in shallow parameterized quantum circuits and its application to financial market indicators K Nakaji, S Uno, Y Suzuki, R Raymond, T Onodera, T Tanaka, H Tezuka, ... Physical Review Research 4 (2), 023136, 2022 | 89 | 2022 |
| Faster amplitude estimation K Nakaji Quantum Information & Computation 20 (13-14), 1109-1123, 2020 | 67 | 2020 |
| Quantum semi-supervised generative adversarial network for enhanced data classification K Nakaji, N Yamamoto Scientific reports 11 (1), 19649, 2021 | 38 | 2021 |
| Grover search revisited: Application to image pattern matching H Tezuka, K Nakaji, T Satoh, N Yamamoto Physical Review A 105 (3), 032440, 2022 | 35 | 2022 |
| Overfitting in quantum machine learning and entangling dropout M Kobayashi, K Nakaji, N Yamamoto Quantum Machine Intelligence 4 (2), 30, 2022 | 27 | 2022 |
| Probing high reheating temperature scenarios at the LHC with long-lived staus M Endo, K Hamaguchi, K Nakaji Journal of High Energy Physics 2010 (11), 1-15, 2010 | 20 | 2010 |
| High-Order Randomized Compiler for Hamiltonian Simulation K Nakaji, M Bagherimehrab, A Aspuru-Guzik PRX Quantum 5 (2), 020330, 2024 | 15* | 2024 |
| Quantum-classical hybrid neural networks in the neural tangent kernel regime K Nakaji, H Tezuka, N Yamamoto Quantum Science and Technology 9 (1), 015022, 2023 | 14* | 2023 |
| Measurement optimization of variational quantum simulation by classical shadow and derandomization K Nakaji, S Endo, Y Matsuzaki, H Hakoshima Quantum 7, 995, 2023 | 13 | 2023 |
| Identifying the origin of longevity of meta-stable stau at the LHC T Ito, K Nakaji, S Shirai Physics Letters B 706 (4-5), 314-319, 2012 | 13 | 2012 |
| Approximate complex amplitude encoding algorithm and its application to data classification problems N Mitsuda, T Ichimura, K Nakaji, Y Suzuki, T Tanaka, R Raymond, ... Physical Review A 109 (5), 052423, 2024 | 10 | 2024 |
| Fast quantum algorithm for differential equations M Bagherimehrab, K Nakaji, N Wiebe, A Aspuru-Guzik arXiv preprint arXiv:2306.11802, 2023 | 9 | 2023 |
| LHC signature with long-lived stau in high reheating temperature scenario M Endo, K Hamaguchi, K Nakaji arXiv preprint arXiv:1105.3823, 2011 | 9 | 2011 |
| The generative quantum eigensolver (GQE) and its application for ground state search K Nakaji, LB Kristensen, JA Campos-Gonzalez-Angulo, MG Vakili, ... arXiv preprint arXiv:2401.09253, 2024 | 8 | 2024 |
| A composite measurement scheme for efficient quantum observable estimation ZJ Zhang, K Nakaji, M Choi, A Aspuru-Guzik arXiv preprint arXiv:2305.02439, 2023 | 8 | 2023 |
| Inverse problem for the propagation equation of cosmic-ray electrons/positrons from dark matter K Hamaguchi, K Nakaji, E Nakamura Physics Letters B 680 (2), 172-178, 2009 | 8 | 2009 |
| Quantum linear algebra is all you need for transformer architectures N Guo, Z Yu, M Choi, A Agrawal, K Nakaji, A Aspuru-Guzik, P Rebentrost arXiv preprint arXiv:2402.16714, 2024 | 5 | 2024 |
| Deterministic and random features for large-scale quantum kernel machine K Nakaji, H Tezuka, N Yamamoto arXiv preprint arXiv:2209.01958, 2022 | 5 | 2022 |
| Expressive quantum supervised machine learning using Kerr-nonlinear parametric oscillators Y Mori, K Nakaji, Y Matsuzaki, S Kawabata Quantum Machine Intelligence 6 (1), 14, 2024 | 2 | 2024 |
