Nathan Wiebe
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Quantum machine learning
J Biamonte, P Wittek, N Pancotti, P Rebentrost, N Wiebe, S Lloyd
Nature 549 (7671), 195-202, 2017
Quantum algorithm for data fitting
N Wiebe, D Braun, S Lloyd
Physical review letters 109 (5), 050505, 2012
Elucidating reaction mechanisms on quantum computers
M Reiher, N Wiebe, KM Svore, D Wecker, M Troyer
Proceedings of the National Academy of Sciences 114 (29), 7555-7560, 2017
Quantum Nearest-Neighbor Algorithms for Machine Learning
N Wiebe, A Kapoor, K Svore
Quantum Information and Computation 15, 318-358, 2015
Low-depth quantum simulation of materials
R Babbush, N Wiebe, J McClean, J McClain, H Neven, GKL Chan
Physical Review X 8 (1), 011044, 2018
Hamiltonian Simulation Using Linear Combinations of Unitary Operations
AM Childs, N Wiebe
Quantum Information and Computation 12, 901-924, 2012
Quantum simulation of electronic structure with linear depth and connectivity
ID Kivlichan, J McClean, N Wiebe, C Gidney, A Aspuru-Guzik, GKL Chan, ...
Physical review letters 120 (11), 110501, 2018
The Trotter Step Size Required for Accurate Quantum Simulation of Quantum Chemistry
D Poulin, MB Hastings, D Wecker, N Wiebe, AC Doherty, M Troyer
Quantum Information and Computation 15, 0361-0384, 2015
Solving strongly correlated electron models on a quantum computer
D Wecker, MB Hastings, N Wiebe, BK Clark, C Nayak, M Troyer
Physical Review A 92 (6), 062318, 2015
Hamiltonian learning and certification using quantum resources
N Wiebe, C Granade, C Ferrie, DG Cory
Physical Review Letters 112, 190501, 2013
Quantum deep learning
N Wiebe, A Kapoor, KM Svore
Quantum Information and Computation 16, 0541-0587, 2016
Robust online Hamiltonian learning
CE Granade, C Ferrie, N Wiebe, DG Cory
New Journal of Physics 14, 103013, 2012
Higher order decompositions of ordered operator exponentials
N Wiebe, D Berry, P H°yer, BC Sanders
Journal of Physics A: Mathematical and Theoretical 43 (6), 065203, 2010
Circuit-centric quantum classifiers
M Schuld, A Bocharov, KM Svore, N Wiebe
Physical Review A 101 (3), 032308, 2020
Chemical basis of Trotter-Suzuki errors in quantum chemistry simulation
R Babbush, J McClean, D Wecker, A Aspuru-Guzik, N Wiebe
Physical Review A 91 (2), 022311, 2015
Experimental quantum Hamiltonian learning
J Wang, S Paesani, R Santagati, S Knauer, AA Gentile, N Wiebe, ...
Nature Physics 13 (6), 551-555, 2017
Encoding electronic spectra in quantum circuits with linear T complexity
R Babbush, C Gidney, DW Berry, N Wiebe, J McClean, A Paler, A Fowler, ...
Physical Review X 8 (4), 041015, 2018
Efficient simulation scheme for a class of quantum optics experiments with non-negative Wigner representation
V Veitch, N Wiebe, C Ferrie, J Emerson
New Journal of Physics 15 (2013), 013037, 2013
Efficient Bayesian phase estimation
N Wiebe, CE Granade
Physical Review Letters 117, 010503, 2016
Experimental Bayesian quantum phase estimation on a silicon photonic chip
S Paesani, AA Gentile, R Santagati, J Wang, N Wiebe, DP Tew, ...
Physical review letters 118 (10), 100503, 2017
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