| Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits | Nov 13, 2024 | Quantum Machine Learning | —Unverified | 0 | 0 |
| Numerical evidence against advantage with quantum fidelity kernels on classical data | Nov 29, 2022 | Inductive BiasQuantum Machine Learning | —Unverified | 0 | 0 |
| Leveraging Diffusion Models for Parameterized Quantum Circuit Generation | May 27, 2025 | Computational EfficiencyDenoising | —Unverified | 0 | 0 |
| On establishing learning separations between classical and quantum machine learning with classical data | Aug 12, 2022 | Learning TheoryQuantum Machine Learning | —Unverified | 0 | 0 |
| On fundamental aspects of quantum extreme learning machines | Dec 23, 2023 | Quantum Machine Learning | —Unverified | 0 | 0 |
| Efficient information recovery from Pauli noise via classical shadow | May 6, 2023 | Quantum Machine Learning | —Unverified | 0 | 0 |
| On quantum backpropagation, information reuse, and cheating measurement collapse | May 22, 2023 | Quantum Machine Learning | —Unverified | 0 | 0 |
| On Quantum BSDE Solver for High-Dimensional Parabolic PDEs | Jun 17, 2025 | Model-based Reinforcement LearningQuantum Machine Learning | —Unverified | 0 | 0 |
| On Quantum Perceptron Learning via Quantum Search | Mar 21, 2025 | Quantum Machine Learning | —Unverified | 0 | 0 |
| Let Quantum Neural Networks Choose Their Own Frequencies | Sep 6, 2023 | Quantum Machine Learning | —Unverified | 0 | 0 |