| Enhancing Quantum Support Vector Machines through Variational Kernel Training | May 10, 2023 | Quantum Machine Learning | —Unverified | 0 |
| Automatic design of quantum feature maps | May 26, 2021 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data | Mar 18, 2025 | Quantum Machine Learning | —Unverified | 0 |
| Distribution alignment based transfer fusion frameworks on quantum devices for seeking quantum advantages | Nov 4, 2024 | Quantum Machine Learning | —Unverified | 0 |
| Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security | Jul 11, 2025 | Model extractionQuantum Machine Learning | —Unverified | 0 |
| Arbitrary Polynomial Separations in Trainable Quantum Machine Learning | Feb 13, 2024 | Quantum Machine Learning | —Unverified | 0 |
| Estimating the randomness of quantum circuit ensembles up to 50 qubits | May 19, 2022 | CPUGPU | —Unverified | 0 |
| Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks | Feb 18, 2024 | Quantum Machine Learning | —Unverified | 0 |
| Evaluating quantum generative models via imbalanced data classification benchmarks | Aug 21, 2023 | Explainable artificial intelligenceQuantum Machine Learning | —Unverified | 0 |
| Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity | Dec 17, 2024 | Quantum Machine Learning | —Unverified | 0 |
