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Joshua Job
Joshua Job
Research Scientist
Zweryfikowany adres z usc.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
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
6852014
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
2262017
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
1742015
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
432021
Test-driving 1000 qubits
J Job, D Lidar
Quantum Science and Technology 3 (3), 030501, 2018
402018
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
262020
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
172021
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
172015
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
142023
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
132019
Systematic comparison of deep belief network training using quantum annealing vs. classical techniques
J Job, S Adachi
arXiv preprint arXiv:2009.00134, 2020
42020
Dynamics of qudit gates and effects of spectator modes on optimal control pulses
AB Özgüler, JA Job
arXiv preprint arXiv:2207.14006, 2022
32022
The theory and practice of benchmarking quantum annealers
J Job
University of Southern California, 2018
22018
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
22014
Defining and detecting quantum speedup
DA Lidar, D Wecker, JM Martinis, J Job, M Troyer, SV Isakov, S Boixo, ...
Science 345 (6195), 2014
22014
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
12021
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
12018
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
12014
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
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