| Entangled Datasets for Quantum Machine Learning | Sep 8, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| Equivariant quantum circuits for learning on weighted graphs | May 12, 2022 | Combinatorial OptimizationQuantum Machine Learning | CodeCode Available | 1 |
| Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK | Aug 8, 2023 | BenchmarkingGPU | CodeCode Available | 1 |
| Generative quantum machine learning via denoising diffusion probabilistic models | Oct 9, 2023 | DenoisingQuantum Machine Learning | CodeCode Available | 1 |
| Quantum machine learning of large datasets using randomized measurements | Aug 2, 2021 | BenchmarkingBIG-bench Machine Learning | CodeCode Available | 1 |
| Practical distributed quantum information processing with LOCCNet | Jan 28, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| A semi-agnostic ansatz with variable structure for quantum machine learning | Mar 11, 2021 | BIG-bench Machine LearningData Compression | CodeCode Available | 1 |
| Quantum anomaly detection in the latent space of proton collision events at the LHC | Jan 25, 2023 | Anomaly DetectionQuantum Machine Learning | CodeCode Available | 1 |
| 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 |
| Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning | Jul 8, 2019 | Quantum Machine LearningTensor Networks | CodeCode Available | 1 |
