| Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK | Aug 8, 2023 | BenchmarkingGPU | CodeCode Available | 1 |
| A quantum algorithm for training wide and deep classical neural networks | Jul 19, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| A kernel-based quantum random forest for improved classification | Oct 5, 2022 | General ClassificationQuantum Machine Learning | CodeCode Available | 1 |
| Advantages and Bottlenecks of Quantum Machine Learning for Remote Sensing | Jan 26, 2021 | BIG-bench Machine Learningimage-classification | 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 |
| 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 |
| 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 |
| Quantum anomaly detection in the latent space of proton collision events at the LHC | Jan 25, 2023 | Anomaly DetectionQuantum Machine Learning | CodeCode Available | 1 |
| The power of quantum neural networks | Oct 30, 2020 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
