| 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 |
| AutoQML: A Framework for Automated Quantum Machine Learning | Feb 28, 2025 | AutoMLHyperparameter Optimization | CodeCode Available | 0 | 5 |
| Enhancing variational quantum state diagonalization using reinforcement learning techniques | Jun 19, 2023 | Quantum Machine Learningreinforcement-learning | CodeCode Available | 0 | 5 |
| Distributed Quantum Neural Networks via Partitioned Features Encoding | Dec 21, 2023 | Quantum Machine Learning | CodeCode Available | 0 | 5 |
| An Efficient Quantum Classifier Based on Hamiltonian Representations | Apr 13, 2025 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| Guided Quantum Compression for High Dimensional Data Classification | Feb 14, 2024 | Binary ClassificationClassification | CodeCode Available | 0 | 5 |
| Distributed Quantum Neural Networks on Distributed Photonic Quantum Computing | May 13, 2025 | Quantum Machine Learning | CodeCode Available | 0 | 5 |
| Integrated Encoding and Quantization to Enhance Quanvolutional Neural Networks | Oct 8, 2024 | QuantizationQuantum Machine Learning | CodeCode Available | 0 | 5 |
| QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning | Nov 2, 2022 | Operator learningQuantum Machine Learning | CodeCode Available | 0 | 5 |
| Double descent in quantum machine learning | Jan 17, 2025 | Learning TheoryQuantum Machine Learning | CodeCode Available | 0 | 5 |
