| 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 |
