| The CHIME fast radio burst project: System overview M Amiri, K Bandura, P Berger, M Bhardwaj, MM Boyce, PJ Boyle, C Brar, ... The Astrophysical Journal 863 (1), 48, 2018 | 362 | 2018 |
| Robust in practice: Adversarial attacks on quantum machine learning H Liao, I Convy, WJ Huggins, KB Whaley Physical Review A 103 (4), 042427, 2021 | 31 | 2021 |
| Machine learning for continuous quantum error correction on superconducting qubits I Convy, H Liao, S Zhang, S Patel, WP Livingston, HN Nguyen, I Siddiqi, ... New Journal of Physics 24, 063019, 2022 | 28 | 2022 |
| Mutual information scaling for tensor network machine learning I Convy, WJ Huggins, H Liao, KB Whaley Machine Learning: Science and Technology 3, 015017, 2021 | 28 | 2021 |
| Machine learning for practical quantum error mitigation H Liao, DS Wang, I Sitdikov, C Salcedo, A Seif, ZK Minev Nature Machine Intelligence, 1-9, 2024 | 24* | 2024 |
| Suppressing correlated noise in quantum computers via context-aware compiling A Seif, H Liao, V Tripathi, K Krsulich, M Malekakhlagh, M Amico, ... 51st Annual International Symposium on Computer Architecture (ISCA), 310-324, 2024 | 12* | 2024 |
| Decohering tensor network quantum machine learning models H Liao, I Convy, Z Yang, KB Whaley Quantum Machine Intelligence 5, 7, 2023 | 11 | 2023 |
| ML-powered FPGA-based real-time quantum state discrimination enabling mid-circuit measurements NR Vora, Y Xu, A Hashim, N Fruitwala, HN Nguyen, H Liao, J Balewski, ... arXiv preprint arXiv:2406.18807, 2024 | 4 | 2024 |
| Entanglement-enhanced learning of quantum processes at scale A Seif, S Chen, S Majumder, H Liao, DS Wang, M Malekakhlagh, ... arXiv preprint arXiv:2408.03376, 2024 | 2 | 2024 |
| Adversarial robustness of quantum machine learning models H Liao, I Convy, WJ Huggins, KB Whaley APS March Meeting Abstracts 2021, S32. 013, 2021 | 1 | 2021 |
| Generation of long-range entanglement enhanced by error detection H Liao, GS Hartnett, A Kakkar, A Tan, M Hush, PS Mundada, MJ Biercuk, ... APS Global Physics Summit 2025, MAR-C36, 2025 | | 2025 |
| Achieving computational gains with quantum error correction primitives: Generation of long-range entanglement enhanced by error detection H Liao, GS Hartnett, A Kakkar, A Tan, M Hush, PS Mundada, MJ Biercuk, ... arXiv preprint arXiv:2411.14638, 2024 | | 2024 |
| Learning about quantum noise at scale A Seif, H Liao, S Majumder, S Chen, D Wang, E Bäumer, ... APS March Meeting Abstracts 2024, Y51.005, 2024 | | 2024 |
| Resource efficient transfer learning approach for error mitigation of quantum circuits at scale N Dicaire, GS Hartnett, H Liao, A Kakkar, Y Baum | | 2024 |
| Machine learning for practical quantum error mitigation H Liao, DS Wang, I Sitdikov, C Salcedo, A Seif, ZK Minev APS March Meeting Abstracts 2024, D52. 003, 2024 | | 2024 |
| Decohering tensor network quantum machine learning models H Liao, I Convy, Z Yang, KB Whaley APS March Meeting Abstracts 2024, OD01. 099, 2024 | | 2024 |
| Machine learning for continuous quantum error correction on superconducting qubits H Liao, I Convy, KB Whaley, S Zhang, S Patel, WP Livingston, I Siddiqi APS March Meeting Abstracts 2022, T40. 013, 2022 | | 2022 |
