| Measuring incompatibility and clustering quantum observables with a quantum switch | Aug 12, 2022 | ClusteringQuantum Machine Learning | —Unverified | 0 |
| On establishing learning separations between classical and quantum machine learning with classical data | Aug 12, 2022 | Learning TheoryQuantum Machine Learning | —Unverified | 0 |
| An example of use of Variational Methods in Quantum Machine Learning | Aug 7, 2022 | Binary ClassificationClassification | —Unverified | 0 |
| Scalable Quantum Neural Networks for Classification | Aug 4, 2022 | Binary ClassificationGeneral Classification | CodeCode Available | 1 |
| Active Learning on a Programmable Photonic Quantum Processor | Aug 3, 2022 | Active LearningBIG-bench Machine Learning | —Unverified | 0 |
| Quantum Machine Learning for Distributed Quantum Protocols with Local Operations and Noisy Classical Communications | Jul 22, 2022 | Quantum Machine Learning | CodeCode Available | 0 |
| Verifying Fairness in Quantum Machine Learning | Jul 22, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| Quantum Feature Extraction for THz Multi-Layer Imaging | Jul 18, 2022 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| Towards Super-polynomial Quantum Speedup of Equivariant Quantum Algorithms with SU(d) Symmetry | Jul 15, 2022 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| QSAN: A Near-term Achievable Quantum Self-Attention Network | Jul 14, 2022 | Binary Classificationimage-classification | —Unverified | 0 |
| A single T-gate makes distribution learning hard | Jul 7, 2022 | Quantum Machine Learning | —Unverified | 0 |
| Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning | Jun 30, 2022 | Quantum Machine Learning | CodeCode Available | 1 |
| Variational Quantum Approximate Support Vector Machine with Inference Transfer | Jun 29, 2022 | ClassificationQuantum Machine Learning | CodeCode Available | 0 |
| Quantum Neural Architecture Search with Quantum Circuits Metric and Bayesian Optimization | Jun 28, 2022 | Bayesian OptimizationBIG-bench Machine Learning | —Unverified | 0 |
| Classical surrogates for quantum learning models | Jun 23, 2022 | Quantum Machine Learning | —Unverified | 0 |
| Hyperparameter Importance of Quantum Neural Networks Across Small Datasets | Jun 20, 2022 | BIG-bench Machine LearningModel Selection | —Unverified | 0 |
| Quantum-machine-learning channel discrimination | Jun 20, 2022 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| Laziness, Barren Plateau, and Noise in Machine Learning | Jun 19, 2022 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| Recent Advances for Quantum Neural Networks in Generative Learning | Jun 7, 2022 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| Overfitting in quantum machine learning and entangling dropout | May 23, 2022 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| Quantum Kerr Learning | May 20, 2022 | Quantum Machine Learning | —Unverified | 0 |
| Estimating the randomness of quantum circuit ensembles up to 50 qubits | May 19, 2022 | CPUGPU | —Unverified | 0 |
| Machine learning applications for noisy intermediate-scale quantum computers | May 19, 2022 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications | May 17, 2022 | BIG-bench Machine LearningISAC | —Unverified | 0 |
| Evolution strategies: Application in hybrid quantum-classical neural networks | May 17, 2022 | Binary ClassificationQuantum Machine Learning | —Unverified | 0 |
