Matthias Degroote
Matthias Degroote
University of Toronto Department of Chemistry
Verified email at utoronto.ca
Title
Cited by
Cited by
Year
Quantum chemistry in the age of quantum computing
Y Cao, J Romero, JP Olson, M Degroote, PD Johnson, M Kieferová, ...
Chemical reviews 119 (19), 10856-10915, 2019
2792019
Transfer matrices and excitations with matrix product states
V Zauner, D Draxler, L Vanderstraeten, M Degroote, J Haegeman, ...
New Journal of Physics 17 (5), 053002, 2015
602015
Polynomial similarity transformation theory: A smooth interpolation between coupled cluster doubles and projected BCS applied to the reduced BCS Hamiltonian
M Degroote, TM Henderson, J Zhao, J Dukelsky, GE Scuseria
Physical Review B 93 (12), 125124, 2016
502016
Merging symmetry projection methods with coupled cluster theory: Lessons from the Lipkin model Hamiltonian
JM Wahlen-Strothman, TM Henderson, MR Hermes, M Degroote, Y Qiu, ...
The Journal of chemical physics 146 (5), 054110, 2017
312017
Faddeev random-phase approximation for molecules
M Degroote, D Van Neck, C Barbieri
Physical Review A 83 (4), 042517, 2011
172011
Noisy intermediate-scale quantum (NISQ) algorithms
K Bharti, A Cervera-Lierta, TH Kyaw, T Haug, S Alperin-Lea, A Anand, ...
arXiv preprint arXiv:2101.08448, 2021
162021
Extended random phase approximation method for atomic excitation energies from correlated and variationally optimized second-order density matrices
H van Aggelen, B Verstichel, G Acke, M Degroote, P Bultinck, PW Ayers, ...
Computational and Theoretical Chemistry 1003, 50-54, 2013
142013
Accuracy of the Faddeev random phase approximation for light atoms
C Barbieri, D Van Neck, M Degroote
Physical Review A 85 (1), 012501, 2012
112012
Tequila: A platform for rapid development of quantum algorithms
JS Kottmann, S Alperin-Lea, T Tamayo-Mendoza, A Cervera-Lierta, ...
Quantum Science and Technology 6 (2), 024009, 2021
52021
Sukin Sim, Leong-Chuan Kwek, and Alán Aspuru-Guzik,“Noisy intermediate-scale quantum (nisq) algorithms,”
K Bharti, A Cervera-Lierta, TH Kyaw, T Haug, S Alperin-Lea, A Anand, ...
arXiv preprint arXiv:2101.08448, 2021
52021
An artificial spiking quantum neuron
LB Kristensen, M Degroote, P Wittek, A Aspuru-Guzik, NT Zinner
npj Quantum Information 7 (1), 1-7, 2021
42021
Mutual information-assisted adaptive variational quantum eigensolver
ZJ Zhang, TH Kyaw, J Kottmann, M Degroote, A Aspuru-Guzik
Quantum Science and Technology, 2021
4*2021
Experimental demonstration of a quantum generative adversarial network for continuous distributions
A Anand, J Romero, M Degroote, A Aspuru-Guzik
arXiv preprint arXiv:2006.01976, 2020
42020
Spin polynomial similarity transformation for repulsive Hamiltonians: interpolating between coupled cluster and spin-projected unrestricted Hartree–Fock
JA Gomez, M Degroote, J Zhao, Y Qiu, GE Scuseria
Physical Chemistry Chemical Physics 19 (33), 22385-22394, 2017
42017
A molecular computing approach to solving optimization problems via programmable microdroplet arrays
SY Guo, P Friederich, Y Cao, TC Wu, CJ Forman, D Mendoza, ...
Matter 4 (4), 1107-1124, 2021
32021
Natural evolutionary strategies for variational quantum computation
A Anand, M Degroote, A Aspuru-Guzik
Machine Learning: Science and Technology, 2021
22021
Faddeev random phase approximation applied to molecules
M Degroote
The European Physical Journal Special Topics 218 (1), 1-70, 2013
12013
Symmetry breaking and restoration by similarity transformation
M Degroote, G Scuseria
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 254, 2017
2017
Faddeev random phase benadering toegepast op moleculen Faddeev random phase approximation applied to molecules
M Degroote
arXiv preprint arXiv:1210.6186, 2012
2012
Static correlation in the Faddeev random phase approximation
M Degroote
16th International conference on Recent Progress in Many-Body Theories, 27-27, 2011
2011
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Articles 1–20