| 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 |
| A Quantum Leaky Integrate-and-Fire Spiking Neuron and Network | Jul 23, 2024 | DiversityQuantum Machine Learning | CodeCode Available | 1 | 5 |
| A divide-and-conquer algorithm for quantum state preparation | Aug 4, 2020 | Quantum Machine Learning | CodeCode Available | 1 | 5 |
| Evaluation of Parameterized Quantum Circuits: on the relation between classification accuracy, expressibility and entangling capability | Mar 22, 2020 | BIG-bench Machine LearningGeneral Classification | 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 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 |
| Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing | Jan 26, 2021 | BIG-bench Machine Learningimage-classification | CodeCode Available | 1 | 5 |
| A kernel-based quantum random forest for improved classification | Oct 5, 2022 | General ClassificationQuantum Machine Learning | CodeCode Available | 1 | 5 |
| Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK | Aug 8, 2023 | BenchmarkingGPU | CodeCode Available | 1 | 5 |
