| Simulation of qubit quantum circuits via Pauli propagation P Rall, D Liang, J Cook, W Kretschmer Physical Review A 99 (6), 062337, 2019 | 39 | 2019 |
| On the hardness of pac-learning stabilizer states with noise A Gollakota, D Liang Quantum 6, 640, 2022 | 15 | 2022 |
| Investigating quantum approximate optimization algorithms under bang-bang protocols D Liang, L Li, S Leichenauer Physical Review Research 2 (3), 033402, 2020 | 15 | 2020 |
| Improved stabilizer estimation via bell difference sampling S Grewal, V Iyer, W Kretschmer, D Liang arXiv preprint arXiv:2304.13915, 2023 | 13 | 2023 |
| Efficient learning of quantum states prepared with few non-clifford gates S Grewal, V Iyer, W Kretschmer, D Liang arXiv preprint arXiv:2305.13409, 2023 | 8 | 2023 |
| Low-stabilizer-complexity quantum states are not pseudorandom S Grewal, V Iyer, W Kretschmer, D Liang arXiv preprint arXiv:2209.14530, 2022 | 8 | 2022 |
| Clifford Circuits can be Properly PAC Learned if and only if D Liang Quantum 7, 1036, 2023 | 6 | 2023 |
| Efficient learning of quantum states prepared with few non-clifford gates ii: Single-copy measurements S Grewal, V Iyer, W Kretschmer, D Liang arXiv preprint arXiv:2308.07175, 2023 | 3 | 2023 |
| Agnostic Tomography of Stabilizer Product States S Grewal, V Iyer, W Kretschmer, D Liang arXiv preprint arXiv:2404.03813, 2024 | | 2024 |
| Pseudoentanglement Ain't Cheap S Grewal, V Iyer, W Kretschmer, D Liang arXiv preprint arXiv:2404.00126, 2024 | | 2024 |
| On computationally efficient learning for stabilizers and beyond DY Liang | | 2023 |
