| Better than classical? The subtle art of benchmarking quantum machine learning models | Mar 11, 2024 | BenchmarkingBinary Classification | CodeCode Available | 7 | 5 |
| Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training | Jan 5, 2024 | Quantum Machine Learning | CodeCode Available | 4 | 5 |
| Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators | May 23, 2025 | Quantum Machine Learning | CodeCode Available | 4 | 5 |
| TensorFlow Quantum: A Software Framework for Quantum Machine Learning | Mar 6, 2020 | BIG-bench Machine LearningMeta-Learning | CodeCode Available | 2 | 5 |
| PennyLane: Automatic differentiation of hybrid quantum-classical computations | Nov 12, 2018 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 2 | 5 |
| A kernel-based quantum random forest for improved classification | Oct 5, 2022 | General ClassificationQuantum Machine Learning | CodeCode Available | 1 | 5 |
| A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery | Sep 6, 2023 | Drug DiscoveryPrediction | CodeCode Available | 1 | 5 |
| A semi-agnostic ansatz with variable structure for quantum machine learning | Mar 11, 2021 | BIG-bench Machine LearningData Compression | CodeCode Available | 1 | 5 |
| A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms | Aug 28, 2022 | Dimensionality ReductionQuantum Machine Learning | CodeCode Available | 1 | 5 |
| A quantum algorithm for training wide and deep classical neural networks | Jul 19, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 | 5 |
