| Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension | Mar 28, 2024 | Quantum Machine Learning | —Unverified | 0 |
| OrganiQ: Mitigating Classical Resource Bottlenecks of Quantum Generative Adversarial Networks on NISQ-Era Machines | Sep 29, 2024 | Image GenerationQuantum Machine Learning | —Unverified | 0 |
| Out-of-distribution generalization for learning quantum dynamics | Apr 21, 2022 | Generalization BoundsOut-of-Distribution Generalization | —Unverified | 0 |
| Overfitting in quantum machine learning and entangling dropout | May 23, 2022 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition | Jan 21, 2025 | Emotion ClassificationEmotion Recognition | —Unverified | 0 |
| Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach | Sep 28, 2022 | Dimensionality ReductionQuantum Machine Learning | —Unverified | 0 |
| Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations | Mar 6, 2024 | Quantum Machine Learning | —Unverified | 0 |
| Parametric t-Stochastic Neighbor Embedding With Quantum Neural Network | Feb 9, 2022 | BIG-bench Machine LearningData Visualization | —Unverified | 0 |
| Performance Analysis of Quantum Machine Learning Classifiers | Oct 16, 2021 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| Permutation-equivariant quantum convolutional neural networks | Apr 28, 2024 | Quantum Machine Learning | —Unverified | 0 |