| Quantum computing for high-energy physics: State of the art and challenges. summary of the qc4hep working group A Di Meglio, K Jansen, I Tavernelli, C Alexandrou, S Arunachalam, ... arXiv preprint arXiv:2307.03236, 2023 | 65 | 2023 |
| Classically emulated digital quantum simulation for screening and confinement in the Schwinger model with a topological term M Honda, E Itou, Y Kikuchi, L Nagano, T Okuda Physical Review D 105 (1), 014504, 2022 | 50 | 2022 |
| Quantum computing for high-energy physics: State of the art and challenges A Di Meglio, K Jansen, I Tavernelli, C Alexandrou, S Arunachalam, ... PRX Quantum 5 (3), 037001, 2024 | 34 | 2024 |
| Quench dynamics of the Schwinger model via variational quantum algorithms L Nagano, A Bapat, CW Bauer Physical Review D 108 (3), 034501, 2023 | 21 | 2023 |
| Quantum data learning for quantum simulations in high-energy physics L Nagano, A Miessen, T Onodera, I Tavernelli, F Tacchino, K Terashi Physical Review Research 5 (4), 043250, 2023 | 10 | 2023 |
| Janus interface entropy and Calabi’s diastasis in four-dimensional = 2 superconformal field theories K Goto, L Nagano, T Nishioka, T Okuda Journal of High Energy Physics 2020 (8), 1-41, 2020 | 10 | 2020 |
| Quantum Computing for High-Energy Physics: State of the Art and Challenges AD Meglio, K Jansen, I Tavernelli, C Alexandrou, S Arunachalam, ... Summary of the QC4HEP Working Group 2307, 2023 | 9 | 2023 |
| A note on commutation relation in conformal field theory L Nagano, S Terashima Journal of High Energy Physics 2021 (9), 1-15, 2021 | 7 | 2021 |
| Quantum computing for high-energy physics: State of the art and challenges. summary of the qc4hep working group, 2023 AD Meglio, K Jansen, I Tavernelli, C Alexandrou, S Arunachalam, ... arXiv preprint arXiv:2307.03236, 0 | 5 | |
| Enforcing exact permutation and rotational symmetries in the application of quantum neural networks on point cloud datasets Z Li, L Nagano, K Terashi Physical Review Research 6 (4), 043028, 2024 | 2 | 2024 |
| Real-time dynamics of the Schwinger model via variational quantum algorithms L Nagano, A Bapat, CW Bauer The 40th International Symposium on Lattice Field Theory, 222, 2024 | | 2024 |
| Quantum convolutional neural networks for jet images classification H Elhag, K Jansen, L Nagano, A Di Tucci arXiv preprint arXiv:2408.08701, 2024 | | 2024 |
| arXiv: Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group A Di Meglio, ER Ortega, K Jansen, I Tavernelli, L Funcke, P Spentzouris, ... | | 2023 |
| Resolution enhancement of one-dimensional molecular wavefunctions in plane-wave basis via quantum machine learning R Sakuma, Y Iiyama, L Nagano, R Sawada, K Terashi arXiv preprint arXiv:2211.04336, 2022 | | 2022 |
| Digital quantum simulation of a quantum field theory by adiabatic state preparation: Charge screening and confinement in quantum electrodynamics on two-dimensional spacetime M Honda, I Etsuko, Y Kikuchi, L Nagano, T Okuda 量子情報技術研究会資料/電子情報通信学会 44, 67-72, 2021 | | 2021 |
| Machine Learning and Architectural Perspectives for Quantum HEP Applications K Terashi, S Ganguly, Y Iiyama, T Inada, W Jang, S Mizuhara, L Nagano, ... | | |
