| Tensorflow quantum: A software framework for quantum machine learning M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ... arXiv preprint arXiv:2003.02989, 2020 | 443 | 2020 |
| Machine learning of high dimensional data on a noisy quantum processor E Peters, J Caldeira, A Ho, S Leichenauer, M Mohseni, H Neven, ... npj Quantum Information 7 (1), 161, 2021 | 105 | 2021 |
| Measurement of the muon antineutrino double-differential cross section for quasielastic-like scattering on hydrocarbon at CE Patrick, L Aliaga, A Bashyal, L Bellantoni, A Bercellie, M Betancourt, ... Physical Review D 97 (5), 052002, 2018 | 76 | 2018 |
| Substrate surface engineering for high-quality silicon/aluminum superconducting resonators CT Earnest, JH Béjanin, TG McConkey, EA Peters, A Korinek, H Yuan, ... Superconductor Science and Technology 31 (12), 125013, 2018 | 72 | 2018 |
| Generalization despite overfitting in quantum machine learning models E Peters, M Schuld Quantum 7, 1210, 2023 | 61 | 2023 |
| Bandwidth enables generalization in quantum kernel models A Canatar, E Peters, C Pehlevan, SM Wild, R Shaydulin Transactions on Machine Learning Research, 2023 | 46 | 2023 |
| Large scale multi-node simulations of ℤ2 gauge theory quantum circuits using Google Cloud Platform E Gustafson, B Holzman, J Kowalkowski, H Lamm, ACY Li, G Perdue, ... 2021 IEEE/ACM Second International Workshop on Quantum Computing Software …, 2021 | 27 | 2021 |
| Simulations of quantum circuits with approximate noise using qsim and cirq SV Isakov, D Kafri, O Martin, CV Heidweiller, W Mruczkiewicz, ... arXiv preprint arXiv:2111.02396, 2021 | 26 | 2021 |
| Perturbative readout-error mitigation for near-term quantum computers E Peters, ACY Li, GN Perdue Physical Review A 107 (6), 062426, 2023 | 13* | 2023 |
| Qubit assignment using time reversal E Peters, P Shyamsundar, ACY Li, G Perdue PRX Quantum 3 (4), 040333, 2022 | 9* | 2022 |
| Bounds and guarantees for learning and entanglement E Peters arXiv preprint arXiv:2404.07277, 2024 | 1 | 2024 |
| Spectral, information-theoretic, and perturbative methods for quantum learning and error mitigation E Peters University of Waterloo, 2024 | | 2024 |
Gabriel PerdueScientist, FermilabVerified email at fnal.gov