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 | 685 | 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 | 226 | 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 | 174 | 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 | 43 | 2021 |
Test-driving 1000 qubits J Job, D Lidar Quantum Science and Technology 3 (3), 030501, 2018 | 40 | 2018 |
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 | 26 | 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 | 17 | 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 |
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 | 14 | 2023 |
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 | 13 | 2019 |
Systematic comparison of deep belief network training using quantum annealing vs. classical techniques J Job, S Adachi arXiv preprint arXiv:2009.00134, 2020 | 4 | 2020 |
Dynamics of qudit gates and effects of spectator modes on optimal control pulses AB Özgüler, JA Job arXiv preprint arXiv:2207.14006, 2022 | 3 | 2022 |
The theory and practice of benchmarking quantum annealers J Job University of Southern California, 2018 | 2 | 2018 |
Performance of quantum annealing on random Ising problems implemented using the D-Wave Two Z Wang, J Job, TF Rønnow, M Troyer, DA Lidar, USC Collaboration, ... APS March Meeting Abstracts 2014, J35. 010, 2014 | 2 | 2014 |
Defining and detecting quantum speedup DA Lidar, D Wecker, JM Martinis, J Job, M Troyer, SV Isakov, S Boixo, ... Science 345 (6195), 2014 | 2 | 2014 |
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 | 1 | 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 | 1 | 2018 |
Probing for quantum speedup on D-Wave Two Z Wang, J Job, SV Isakov, S Boixo, D Lidar, J Martinis, M Troyer Bulletin of the American Physical Society 59, 2014 | 1 | 2014 |
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 | | 2024 |
The quantum algorithmic reach of a high-Q radio frequency cavity N Bornman, S Alam, J Job, T Roy, N Anand, G Perdue, S Zorzetti Bulletin of the American Physical Society, 2024 | | 2024 |