| A quantum-inspired classical algorithm for recommendation systems E Tang Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing …, 2019 | 439 | 2019 |
| Quantum principal component analysis only achieves an exponential speedup because of its state preparation assumptions E Tang Physical Review Letters 127 (6), 060503, 2021 | 250* | 2021 |
| Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning NH Chia, AP Gilyén, T Li, HH Lin, E Tang, C Wang Journal of the ACM 69 (5), 1-72, 2022 | 151 | 2022 |
| Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension A Gilyén, S Lloyd, E Tang arXiv preprint arXiv:1811.04909, 2018 | 135* | 2018 |
| Learning quantum Hamiltonians from high-temperature Gibbs states and real-time evolutions J Haah, R Kothari, E Tang Nature Physics, 1-5, 2024 | 92* | 2024 |
| An improved quantum-inspired algorithm for linear regression A Gilyén, Z Song, E Tang Quantum 6, 754, 2022 | 69 | 2022 |
| In vivo imaging of infection using a bacteria-targeting optical nanoprobe EN Tang, A Nair, DW Baker, W Hu, J Zhou Journal of biomedical nanotechnology 10 (5), 856-863, 2014 | 50 | 2014 |
| Development of optical probes for in vivo imaging of polarized macrophages during foreign body reactions DW Baker, J Zhou, YT Tsai, KM Patty, H Weng, EN Tang, A Nair, WJ Hu, ... Acta biomaterialia 10 (7), 2945-2955, 2014 | 39 | 2014 |
| Query-optimal estimation of unitary channels in diamond distance J Haah, R Kothari, R O’Donnell, E Tang 2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS …, 2023 | 37 | 2023 |
| Dequantizing algorithms to understand quantum advantage in machine learning E Tang Nature Reviews Physics 4 (11), 692-693, 2022 | 29 | 2022 |
| Real-time detection of implant-associated neutrophil responses using a formyl peptide receptor-targeting NIR nanoprobe J Zhou, YT Tsai, H Weng, EN Tang, A Nair, DP Davé, L Tang International journal of nanomedicine, 2057-2068, 2012 | 27 | 2012 |
| Learning quantum hamiltonians at any temperature in polynomial time A Bakshi, A Liu, A Moitra, E Tang Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 1470-1477, 2024 | 25 | 2024 |
| Optical imaging of fibrin deposition to elucidate participation of mast cells in foreign body responses YT Tsai, J Zhou, H Weng, EN Tang, DW Baker, L Tang Biomaterials 35 (7), 2089-2096, 2014 | 21 | 2014 |
| High-Temperature Gibbs States are Unentangled and Efficiently Preparable A Bakshi, A Liu, A Moitra, E Tang arXiv preprint arXiv:2403.16850, 2024 | 18 | 2024 |
| A CS guide to the quantum singular value transformation E Tang, K Tian 2024 Symposium on Simplicity in Algorithms (SOSA), 121-143, 2024 | 18 | 2024 |
| An improved classical singular value transformation for quantum machine learning A Bakshi, E Tang Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024 | 16 | 2024 |
| Structure learning of Hamiltonians from real-time evolution A Bakshi, A Liu, A Moitra, E Tang arXiv preprint arXiv:2405.00082, 2024 | 7 | 2024 |
| Quantum Machine Learning Without Any Quantum E Tang University of Washington, 2023 | 4 | 2023 |
| Factorizations of -nonnegative matrices S Chepuri, N Kulkarni, J Suk, E Tang Journal of Combinatorics 13 (2), 201-250, 2022 | 4* | 2022 |
| Do you know what q-means? JF Doriguello, A Luongo, E Tang arXiv preprint arXiv:2308.09701, 2023 | 3 | 2023 |
