| An Efficient Quantum Classifier Based on Hamiltonian Representations | Apr 13, 2025 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Feature Importance and Explainability in Quantum Machine Learning | May 14, 2024 | Feature ImportanceQuantum Machine Learning | CodeCode Available | 0 | 5 |
| Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification | Apr 30, 2024 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Experimental Quantum Generative Adversarial Networks for Image Generation | Oct 13, 2020 | Image GenerationQuantum Machine Learning | CodeCode Available | 0 | 5 |
| Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks | Oct 12, 2024 | Quantum Machine Learning | CodeCode Available | 0 | 5 |
| Information-theoretic bounds on quantum advantage in machine learning | Jan 7, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 0 | 5 |
| Enhancing variational quantum state diagonalization using reinforcement learning techniques | Jun 19, 2023 | Quantum Machine Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| Élivágar: Efficient Quantum Circuit Search for Classification | Jan 17, 2024 | ClassificationNeural Architecture Search | CodeCode Available | 0 | 5 |
| Double descent in quantum machine learning | Jan 17, 2025 | Learning TheoryQuantum Machine Learning | CodeCode Available | 0 | 5 |
| Eigen component analysis: A quantum theory incorporated machine learning technique to find linearly maximum separable components | Mar 23, 2020 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 0 | 5 |
