| Nonlinear regression based on a hybrid quantum computer | Aug 29, 2018 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| Numerical evidence against advantage with quantum fidelity kernels on classical data | Nov 29, 2022 | Inductive BiasQuantum Machine Learning | —Unverified | 0 |
| On-board classification of underwater images using hybrid classical-quantum CNN based method | Apr 19, 2024 | Autonomous VehiclesGPU | —Unverified | 0 |
| On establishing learning separations between classical and quantum machine learning with classical data | Aug 12, 2022 | Learning TheoryQuantum Machine Learning | —Unverified | 0 |
| On fundamental aspects of quantum extreme learning machines | Dec 23, 2023 | Quantum Machine Learning | —Unverified | 0 |
| On quantum backpropagation, information reuse, and cheating measurement collapse | May 22, 2023 | Quantum Machine Learning | —Unverified | 0 |
| On Quantum BSDE Solver for High-Dimensional Parabolic PDEs | Jun 17, 2025 | Model-based Reinforcement LearningQuantum Machine Learning | —Unverified | 0 |
| On Quantum Perceptron Learning via Quantum Search | Mar 21, 2025 | Quantum Machine Learning | —Unverified | 0 |
| On the relation between trainability and dequantization of variational quantum learning models | Jun 11, 2024 | Quantum Machine LearningRelation | —Unverified | 0 |
| On the similarity of bandwidth-tuned quantum kernels and classical kernels | Mar 7, 2025 | Quantum Machine Learning | —Unverified | 0 |
| On the status of current quantum machine learning software | Mar 11, 2025 | Image SegmentationQuantum Machine Learning | —Unverified | 0 |
| Towards Super-polynomial Quantum Speedup of Equivariant Quantum Algorithms with SU(d) Symmetry | Jul 15, 2022 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| On the universality of S_n-equivariant k-body gates | Mar 1, 2023 | Quantum Machine Learning | —Unverified | 0 |
| Opportunities and limitations of explaining quantum machine learning | Dec 19, 2024 | Quantum Machine Learning | —Unverified | 0 |
| Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing | Sep 21, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Optimal quantum dataset for learning a unitary transformation | Mar 1, 2022 | Quantum Machine Learning | —Unverified | 0 |
| Compositional optimization of quantum circuits for quantum kernels of support vector machines | Mar 25, 2022 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 |
| Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics | Sep 2, 2024 | DenoisingQuantum Machine Learning | —Unverified | 0 |
| Optimization Strategies for Variational Quantum Algorithms in Noisy Landscapes | Jun 2, 2025 | NavigateQuantum Machine Learning | —Unverified | 0 |
| Optimizing Hyperparameters for Quantum Data Re-Uploaders in Calorimetric Particle Identification | Dec 16, 2024 | global-optimizationQuantum Machine Learning | —Unverified | 0 |
| Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension | Mar 28, 2024 | Quantum Machine Learning | —Unverified | 0 |
| OrganiQ: Mitigating Classical Resource Bottlenecks of Quantum Generative Adversarial Networks on NISQ-Era Machines | Sep 29, 2024 | Image GenerationQuantum Machine Learning | —Unverified | 0 |
| Out-of-distribution generalization for learning quantum dynamics | Apr 21, 2022 | Generalization BoundsOut-of-Distribution Generalization | —Unverified | 0 |
| Overfitting in quantum machine learning and entangling dropout | May 23, 2022 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition | Jan 21, 2025 | Emotion ClassificationEmotion Recognition | —Unverified | 0 |