| Atom-by-atom assembly of defect-free one-dimensional cold atom arrays M Endres, H Bernien, A Keesling, H Levine, ER Anschuetz, A Krajenbrink, ... Science 354 (6315), 1024-1027, 2016 | 967 | 2016 |
| Quantum variational algorithms are swamped with traps ER Anschuetz, BT Kiani Nature Communications 13 (1), 7760, 2022 | 227 | 2022 |
| Variational Quantum Factoring E Anschuetz, J Olson, A Aspuru-Guzik, Y Cao Quantum Technology and Optimization Problems 2019, 74–85, 2018 | 158* | 2018 |
| Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing M Cerezo, M Larocca, D García-Martín, NL Diaz, P Braccia, E Fontana, ... arXiv preprint arXiv:2312.09121, 2023 | 102* | 2023 |
| Enhancing Generative Models via Quantum Correlations X Gao, ER Anschuetz, ST Wang, JI Cirac, MD Lukin Physical Review X 12 (2), 021037, 2022 | 97 | 2022 |
| Critical Points in Quantum Generative Models ER Anschuetz International Conference on Learning Representations, 2022 | 78* | 2022 |
| Efficient classical algorithms for simulating symmetric quantum systems ER Anschuetz, A Bauer, BT Kiani, S Lloyd Quantum 7, 1189, 2023 | 30 | 2023 |
| Coreset Clustering on Small Quantum Computers T Tomesh, P Gokhale, ER Anschuetz, FT Chong Electronics 10 (14), 1690, 2021 | 30 | 2021 |
| Realizing Quantum Boltzmann Machines Through Eigenstate Thermalization ER Anschuetz, Y Cao arXiv preprint arXiv:1903.01359, 2019 | 26 | 2019 |
| Near-term quantum-classical associative adversarial networks ER Anschuetz, C Zanoci Physical Review A 100 (5), 052327, 2019 | 25 | 2019 |
| Interpretable quantum advantage in neural sequence learning ER Anschuetz, HY Hu, JL Huang, X Gao PRX Quantum 4 (2), 020338, 2023 | 24 | 2023 |
| ORQVIZ: visualizing high-dimensional landscapes in variational quantum algorithms MS Rudolph, S Sim, A Raza, M Stechly, JR McClean, ER Anschuetz, ... arXiv preprint arXiv:2111.04695, 2021 | 20* | 2021 |
| Hybrid Quantum-Classical Computer System for Implementing and Optimizing Quantum Boltzmann Machines ER Anschuetz, Y Cao US Patent App. 16/662,895, 2020 | 17 | 2020 |
| Using Spectral Graph Theory to Map Qubits onto Connectivity-limited Devices JX Lin, ER Anschuetz, AW Harrow ACM Transactions on Quantum Computing 2 (1), 1–30, 2021 | 11 | 2021 |
| Bounds on the ground state energy of quantum -spin Hamiltonians ER Anschuetz, D Gamarnik, BT Kiani arXiv preprint arXiv:2404.07231, 2024 | 6* | 2024 |
| Supercheq: Quantum advantage for distributed databases P Gokhale, ER Anschuetz, C Campbell, FT Chong, ED Dahl, P Frederick, ... arXiv preprint arXiv:2212.03850, 2022 | 6 | 2022 |
| Combinatorial NLTS From the Overlap Gap Property ER Anschuetz, D Gamarnik, B Kiani Quantum 8, 1527, 2024 | 5 | 2024 |
| Arbitrary Polynomial Separations in Trainable Quantum Machine Learning ER Anschuetz, X Gao arXiv preprint arXiv:2402.08606, 2024 | 5 | 2024 |
| Hybrid quantum-classical computer system and method for performing function inversion Y Cao, JP Olson, ER Anschuetz US Patent 11,507,872, 2022 | 5 | 2022 |
| Strongly interacting fermions are non-trivial yet non-glassy ER Anschuetz, CF Chen, BT Kiani, R King arXiv preprint arXiv:2408.15699, 2024 | 4 | 2024 |
