An end-to-end trainable hybrid classical-quantum classifier SYC Chen, CM Huang, CW Hsing, YJ Kao Machine Learning: Science and Technology 2 (4), 2021 | 57 | 2021 |
Variational quantum reinforcement learning via evolutionary optimization SYC Chen, CM Huang, CW Hsing, HS Goan, YJ Kao Machine Learning: Science and Technology 3 (1), 015025, 2022 | 48 | 2022 |
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit SYC Chen, CM Huang, CW Hsing, YJ Kao 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 39 | 2020 |
Quantum-inspired tensor neural networks for partial differential equations R Patel, CW Hsing, S Sahin, SS Jahromi, S Palmer, S Sharma, C Michel, ... arXiv preprint arXiv:2208.02235, 2022 | 10 | 2022 |
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit. arXiv 2020 SYC Chen, CM Huang, CW Hsing, YJ Kao arXiv preprint arXiv:2011.14651, 0 | 9 | |
Quantum-inspired tensor neural networks for option pricing RG Patel, CW Hsing, S Sahin, S Palmer, SS Jahromi, S Sharma, ... arXiv preprint arXiv:2212.14076, 2022 | 3 | 2022 |
Systems and methods of applying matrix product states to machine learning C Hsing, O Román, S Mugel, S Jahromi, S Sahin, S Palmer US Patent App. 17/857,487, 2023 | | 2023 |
Systems and methods of applying tensor radial basis function networks to machine learning S Palmer, R Patel, O Román, S Jahromi, C Hsing, S Sahin US Patent App. 17/857,491, 2023 | | 2023 |
Determination of condition or characteristic of a target O Román, S Mugel, S Sahin, S Jahromi, CW Hsing, R Patel, S Palmer US Patent App. 17/729,575, 2023 | | 2023 |