| Fock state-enhanced expressivity of quantum machine learning models BY Gan, D Leykam, DG Angelakis EPJ Quantum Technology 9 (1), 16, 2022 | 16 | 2022 |
| Quantum machine learning with linear optics and coherent states BY Gan, D Leykam, D Angelakis APS March Meeting Abstracts 2022, W37. 011, 2022 | 2 | 2022 |
| A unified framework for trace-induced quantum kernels BY Gan, D Leykam, S Thanasilp arXiv preprint arXiv:2311.13552, 2023 | 1 | 2023 |
| Landscape approximation of low-energy solutions to binary optimization problems BYL Tan, BY Gan, D Leykam, DG Angelakis Physical Review A 109 (1), 012433, 2024 | | 2024 |
| Expressivity and generalization error of projected fidelity quantum kernels BY Gan, S Thanasilp, D Leykam, D Angelakis APS March Meeting Abstracts 2023, D73. 007, 2023 | | 2023 |
| Fock State-enhanced Expressivity of Quantum Machine Learning Models BY Gan, D Leykam, DG Angelakis 2021 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2021 | | 2021 |
| Quantum Thermodynamics: Quantum Szilard Engine Powered by Quantum Coherence BY Gan Nanyang Technological University, 2020 | | 2020 |
Daniel LeykamNational University of SingaporeVerified email at nus.edu.sg
