| Arbitrary Polynomial Separations in Trainable Quantum Machine Learning | Feb 13, 2024 | Quantum Machine Learning | —Unverified | 0 |
| Exploiting symmetry in variational quantum machine learning | May 12, 2022 | BIG-bench Machine LearningInductive Bias | —Unverified | 0 |
| Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity | Dec 17, 2024 | Quantum Machine Learning | —Unverified | 0 |
| BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms | Apr 28, 2022 | Quantum Machine Learning | —Unverified | 0 |
| Noise robustness and experimental demonstration of a quantum generative adversarial network for continuous distributions | Jun 2, 2020 | BIG-bench Machine LearningGenerative Adversarial Network | —Unverified | 0 |
| Experimental Machine Learning with Classical and Quantum Data via NMR Quantum Kernels | Dec 12, 2024 | Quantum Machine Learning | —Unverified | 0 |
| Experimental quantum adversarial learning with programmable superconducting qubits | Apr 4, 2022 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |
| Benchmarking data encoding methods in Quantum Machine Learning | May 20, 2025 | BenchmarkingQuantum Machine Learning | —Unverified | 0 |
| Experimental robustness benchmark of quantum neural network on a superconducting quantum processor | May 22, 2025 | Adversarial AttackAdversarial Robustness | —Unverified | 0 |
| A Case For Noisy Shallow Gate-Based Circuits In Quantum Machine Learning | Dec 13, 2021 | BIG-bench Machine LearningQuantum Machine Learning | —Unverified | 0 |