| Quantum machine learning beyond kernel methods | Oct 25, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| Entangled Datasets for Quantum Machine Learning | Sep 8, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| Optimizing Quantum Variational Circuits with Deep Reinforcement Learning | Sep 7, 2021 | BIG-bench Machine LearningDeep Reinforcement Learning | CodeCode Available | 1 |
| Quantum machine learning of large datasets using randomized measurements | Aug 2, 2021 | BenchmarkingBIG-bench Machine Learning | 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 |
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| The dilemma of quantum neural networks | Jun 9, 2021 | Quantum Machine Learning | CodeCode Available | 1 |
| Quantum Federated Learning with Quantum Data | May 30, 2021 | BIG-bench Machine LearningFederated 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 |
| Practical distributed quantum information processing with LOCCNet | Jan 28, 2021 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| Supervised quantum machine learning models are kernel methods | Jan 26, 2021 | BIG-bench Machine LearningQuantum 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 |
| VSQL: Variational Shadow Quantum Learning for Classification | Dec 15, 2020 | BIG-bench Machine LearningClassification | CodeCode Available | 1 |
| The power of quantum neural networks | Oct 30, 2020 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| The effect of data encoding on the expressive power of variational quantum machine learning models | Aug 19, 2020 | BIG-bench Machine LearningQuantum Machine Learning | CodeCode Available | 1 |
| A divide-and-conquer algorithm for quantum state preparation | Aug 4, 2020 | Quantum Machine Learning | CodeCode Available | 1 |
| Variational quantum Gibbs state preparation with a truncated Taylor series | May 18, 2020 | Quantum Machine Learning | CodeCode Available | 1 |
| 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 |
| 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 |
| Stochastic Entanglement Configuration for Constructive Entanglement Topologies in Quantum Machine Learning with Application to Cardiac MRI | Jul 15, 2025 | Quantum Machine Learning | —Unverified | 0 |
| Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security | Jul 11, 2025 | Model extractionQuantum Machine Learning | —Unverified | 0 |
| Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach | Jul 10, 2025 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers | Jun 26, 2025 | Quantum Machine Learning | —Unverified | 0 |
| A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning | Jun 24, 2025 | Dimensionality ReductionQuantum Machine Learning | —Unverified | 0 |
| Iterative Quantum Feature Maps | Jun 24, 2025 | Contrastive Learningimage-classification | —Unverified | 0 |