| Universal approximation property of quantum machine learning models in quantum-enhanced feature spaces T Goto, QH Tran, K Nakajima Physical Review Letters 127 (9), 090506, 2021 | 111* | 2021 |
| Learning Temporal Quantum Tomography QH Tran, K Nakajima Physical Review Letters 127 (26), 2021 | 40 | 2021 |
| Topological persistence machine of phase transitions QH Tran, M Chen, Y Hasegawa Physical Review E 103 (5), 052127, 2021 | 40 | 2021 |
| Temporal information processing induced by quantum noise T Kubota, Y Suzuki, S Kobayashi, QH Tran, N Yamamoto, K Nakajima Physical Review Research 5 (2), 023057, 2023 | 32* | 2023 |
| Topological time-series analysis with delay-variant embedding QH Tran, Y Hasegawa Physical Review E 99 (3), 032209, 2019 | 29 | 2019 |
| Higher-order quantum reservoir computing QH Tran, K Nakajima arXiv preprint arXiv:2006.08999, 2020 | 27 | 2020 |
| Scale-variant topological information for characterizing the structure of complex networks QH Tran, VT Vo, Y Hasegawa Physical Review E 100 (3), 032308, 2019 | 19* | 2019 |
| Splitting and parallelizing of quantum convolutional neural networks for learning translationally symmetric data K Chinzei, QH Tran, K Maruyama, H Oshima, S Sato Physical Review Research 6 (2), 023042, 2024 | 8 | 2024 |
| Hierarchy of the echo state property in quantum reservoir computing S Kobayashi, T Quoc Hoan, K Nakajima Machine Learning with New Compute Paradigms, 2023 | 7* | 2023 |
| Quantum-classical hybrid information processing via a single quantum system QH Tran, S Ghosh, K Nakajima Physical Review Research 5 (4), 043127, 2023 | 5 | 2023 |
| Evaluating the phase dynamics of coupled oscillators via time-variant topological features K Itabashi, QH Tran, Y Hasegawa Physical Review E 103 (3), 032207, 2021 | 5 | 2021 |
| Variational denoising for variational quantum eigensolver QH Tran, S Kikuchi, H Oshima Physical Review Research 6 (2), 023181, 2024 | 4 | 2024 |
| Hidden topics modeling approach for review quality prediction and classification HT Quoc, H Ochiai, H Esaki 2015 7th International Conference of Soft Computing and Pattern Recognition …, 2015 | 3 | 2015 |
| Coherence influx is indispensable for quantum reservoir computing S Kobayashi, QH Tran, K Nakajima arXiv preprint arXiv:2409.12693, 2024 | 2 | 2024 |
| Quantum curriculum learning QH Tran, Y Endo, H Oshima arXiv preprint arXiv:2407.02419, 2024 | 2 | 2024 |
| Trade-off between gradient measurement efficiency and expressivity in deep quantum neural networks K Chinzei, S Yamano, QH Tran, Y Endo, H Oshima arXiv preprint arXiv:2406.18316, 2024 | 2 | 2024 |
| Exponential Improvement on Asian Option Pricing Through Quantum Preconditioning Methods G Rendon, R Kshirsagar, QH Tran arXiv preprint arXiv:2501.15614, 2025 | | 2025 |
| Resource-efficient equivariant quantum convolutional neural networks K Chinzei, QH Tran, Y Endo, H Oshima arXiv preprint arXiv:2410.01252, 2024 | | 2024 |
| Variant Topological Data Analysis QH Tran 東京大学, 2020 | | 2020 |
| パーシステントホモロジーを用いた確率的な化学反応ネットワークの分岐点の推定 TQ Hoan, VV Tan, 長谷川禎彦 研究報告バイオ情報学 (BIO) 2017 (7), 1-6, 2017 | | 2017 |
Kohei NakajimaUniversity of Tokyo確認したメール アドレス: isi.imi.i.u-tokyo.ac.jp