| Defining and detecting quantum speedup TF Rønnow, Z Wang, J Job, S Boixo, SV Isakov, D Wecker, JM Martinis, ... science 345 (6195), 420-424, 2014 | 743 | 2014 |
| Solving a Higgs optimization problem with quantum annealing for machine learning A Mott, J Job, JR Vlimant, D Lidar, M Spiropulu Nature 550 (7676), 375-379, 2017 | 254 | 2017 |
| Probing for quantum speedup in spin-glass problems with planted solutions I Hen, J Job, T Albash, TF Rønnow, M Troyer, DA Lidar Physical Review A 92 (4), 042325, 2015 | 189 | 2015 |
| Charged particle tracking with quantum annealing optimization A Zlokapa, A Anand, JR Vlimant, JM Duarte, J Job, D Lidar, M Spiropulu Quantum Machine Intelligence 3, 1-11, 2021 | 50 | 2021 |
| Test-driving 1000 qubits J Job, D Lidar Quantum Science and Technology 3 (3), 030501, 2018 | 42 | 2018 |
| Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model ACY Li, MS Alam, T Iadecola, A Jahin, J Job, DM Kurkcuoglu, R Li, ... Physical Review Research 5 (3), 033071, 2023 | 29 | 2023 |
| Quantum adiabatic machine learning by zooming into a region of the energy surface A Zlokapa, A Mott, J Job, JR Vlimant, D Lidar, M Spiropulu Physical Review A 102 (6), 062405, 2020 | 29 | 2020 |
| Quantum simulation of theories in qudit systems DM Kurkcuoglu, MS Alam, JA Job, ACY Li, A Macridin, GN Perdue, ... arXiv preprint arXiv:2108.13357, 2021 | 27 | 2021 |
| Teleportation-based fault-tolerant quantum computation in multi-qubit large block codes TA Brun, YC Zheng, KC Hsu, J Job, CY Lai arXiv preprint arXiv:1504.03913, 2015 | 17 | 2015 |
| Restricted boltzmann machines for galaxy morphology classification with a quantum annealer J Caldeira, J Job, SH Adachi, B Nord, GN Perdue arXiv preprint arXiv:1911.06259, 2019 | 15 | 2019 |
| Systematic comparison of deep belief network training using quantum annealing vs. classical techniques J Job, S Adachi arXiv preprint arXiv:2009.00134, 2020 | 6 | 2020 |
| Dynamics of qudit gates and effects of spectator modes on optimal control pulses AB Özgüler, JA Job Physical Review A 109 (5), 052404, 2024 | 5 | 2024 |
| Efficient, direct compilation of SU (N) operations into SNAP & Displacement gates J Job arXiv preprint arXiv:2307.11900, 2023 | 3 | 2023 |
| Defining and detecting quantum speedup DA Lidar, D Wecker, JM Martinis, J Job, M Troyer, SV Isakov, S Boixo, ... Science, 2014 | 3 | 2014 |
| Quantum-Centric Study of Methylene Singlet and Triplet States I Liepuoniute, KD Doney, J Robledo-Moreno, JA Job, WS Friend, ... arXiv preprint arXiv:2411.04827, 2024 | 2 | 2024 |
| Quantifying fault tolerant simulation of strongly correlated systems using the Fermi-Hubbard model AA Agrawal, J Job, TL Wilson, SN Saadatmand, MJ Hodson, JY Mutus, ... arXiv preprint arXiv:2406.06511, 2024 | 2 | 2024 |
| The Cost of Entanglement Renormalization on a Fault-Tolerant Quantum Computer J Job, IH Kim, E Johnston, S Adachi arXiv preprint arXiv:2404.10050, 2024 | 2 | 2024 |
| Quantum adiabatic machine learning with zooming A Zlokapa, A Mott, J Job, JR Vlimant, D Lidar, M Spiropulu Bulletin of the American Physical Society 66, 2021 | 2 | 2021 |
| Solving a Higgs detection optimization problem with quantum annealing for machine learning J Job, A Mott, JR Vlimant, D Lidar, M Spiropulu APS March Meeting Abstracts 2018, S28. 008, 2018 | 2 | 2018 |
| The theory and practice of benchmarking quantum annealers J Job University of Southern California, 2018 | 2 | 2018 |