Matthias Degroote
Matthias Degroote
Boehringer Ingelheim Quantum Lab
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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
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
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
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
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
Faddeev random-phase approximation for molecules
M Degroote, D Van Neck, C Barbieri
Physical Review A 83 (4), 042517, 2011
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
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
Accuracy of the Faddeev random phase approximation for light atoms
C Barbieri, D Van Neck, M Degroote
Physical Review A 85 (1), 012501, 2012
Noise Robustness and Experimental Demonstration of a Quantum Generative Adversarial Network for Continuous Distributions
A Anand, J Romero, M Degroote, A Aspuru‐Guzik
Advanced Quantum Technologies 4 (5), 2000069, 2021
An artificial spiking quantum neuron
LB Kristensen, M Degroote, P Wittek, A Aspuru-Guzik, NT Zinner
npj Quantum Information 7 (1), 1-7, 2021
Mutual information-assisted adaptive variational quantum eigensolver
ZJ Zhang, TH Kyaw, J Kottmann, M Degroote, A Aspuru-Guzik
Quantum Science and Technology, 2021
Natural evolutionary strategies for variational quantum computation
A Anand, M Degroote, A Aspuru-Guzik
Machine Learning: Science and Technology, 2021
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
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
Towards the Simulation of Large Scale Protein-Ligand Interactions on NISQ-era Quantum Computers
FD Malone, RM Parrish, AR Welden, T Fox, M Degroote, E Kyoseva, ...
arXiv preprint arXiv:2110.01589, 2021
A Quantum Computing View on Unitary Coupled Cluster Theory
A Anand, P Schleich, S Alperin-Lea, PWK Jensen, S Sim, M Díaz-Tinoco, ...
arXiv preprint arXiv:2109.15176, 2021
Faddeev random phase approximation applied to molecules
M Degroote
The European Physical Journal Special Topics 218 (1), 1-70, 2013
Efficient quantum computation of molecular forces and other energy gradients
TE O'Brien, M Streif, NC Rubin, R Santagati, Y Su, WJ Huggins, JJ Goings, ...
arXiv preprint arXiv:2111.12437, 2021
1. Quantum Applications-Fachbeitrag: Warum Moleküle Quantencomputer brauchen
M Streif, M Degroote, E Kyoseva, N Moll, R Santagati, C Tautermann, ...
Digitale Welt 5 (4), 16-20, 2021
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