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Sam Marsh
Sam Marsh
Q-CTRL, Sydney, Australia
Verified email at q-ctrl.com
Title
Cited by
Cited by
Year
A quantum walk-assisted approximate algorithm for bounded NP optimisation problems
S Marsh, JB Wang
Quantum Information Processing 18 (3), 61, 2019
552019
Combinatorial optimization via highly efficient quantum walks
S Marsh, JB Wang
Physical Review Research 2 (2), 023302, 2020
412020
Quantum walk-based portfolio optimisation
N Slate, E Matwiejew, S Marsh, JB Wang
Quantum 5, 513, 2021
392021
Deterministic search on star graphs via quantum walks
D Qu, S Marsh, K Wang, L Xiao, J Wang, P Xue
Physical Review Letters 128 (5), 050501, 2022
302022
Quantum walk-based vehicle routing optimisation
T Bennett, E Matwiejew, S Marsh, JB Wang
Frontiers in Physics 9, 730856, 2021
142021
Quantum computing for transport optimization
CDB Bentley, S Marsh, ARR Carvalho, P Kilby, MJ Biercuk
arXiv preprint arXiv:2206.07313, 2022
112022
Deterministic spatial search using alternating quantum walks
S Marsh, JB Wang
Physical Review A 104 (2), 022216, 2021
102021
Graph comparison via nonlinear quantum search
M Chiew, K de Lacy, CH Yu, S Marsh, JB Wang
Quantum Information Processing 18, 1-34, 2019
82019
A framework for optimal quantum spatial search using alternating phase-walks
S Marsh, JB Wang
Quantum Science and Technology 6 (4), 045029, 2021
42021
Improving algorithmic performance using hardware efficient gates
Y Wang, A Kakkar, S Marsh, H Greenburg, Y Baum, P Mundada
Bulletin of the American Physical Society, 2024
2024
Quantum algorithm co-design for field-testing the path to advantage
G Hartnett, A Carvalho, S Marsh, C Bentley
Bulletin of the American Physical Society, 2024
2024
Accelerating vehicle routing problems on quantum computers
C Bentley, S Marsh, A Carvalho, A Mishra, Y Baum, M Hush, M Biercuk
APS March Meeting Abstracts 2022, G36. 010, 2022
2022
Optimisation and Search via Quantum Walks
S Marsh
The University of Western Australia, 2021
2021
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Articles 1–13