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Luuk Coopmans
Luuk Coopmans
Quantum Machine Learning Scientist, Cambridge Quantum
Verified email at cambridgequantum.com
Title
Cited by
Cited by
Year
Predicting Gibbs-state expectation values with pure thermal shadows
L Coopmans, Y Kikuchi, M Benedetti
PRX Quantum 4 (1), 010305, 2023
412023
Protocol discovery for the quantum control of majoranas by differentiable programming and natural evolution strategies
L Coopmans, D Luo, G Kells, BK Clark, J Carrasquilla
PRX Quantum 2 (2), 020332, 2021
412021
Realization of quantum signal processing on a noisy quantum computer
Y Kikuchi, C Mc Keever, L Coopmans, M Lubasch, M Benedetti
npj Quantum Information 9 (1), 93, 2023
252023
On the sample complexity of quantum Boltzmann machine learning
L Coopmans, M Benedetti
Communications Physics 7 (1), 274, 2024
212024
Optimal control in disordered quantum systems
L Coopmans, S Campbell, G De Chiara, A Kiely
Physical Review Research 4 (4), 043138, 2022
112022
Quixer: A quantum transformer model
N Khatri, G Matos, L Coopmans, S Clark
arXiv preprint arXiv:2406.04305, 2024
52024
PRX Quantum 2, 020332 (2021)
L Coopmans, D Luo, G Kells, BK Clark, J Carrasquilla
URL https://link. aps. org/doi/10.1103/PRXQuantum 2, 0
5
Dynamical phase error in interacting topological quantum memories
L Coopmans, S Dooley, I Jubb, K Kavanagh, G Kells
Physical Review Research 3 (3), 033105, 2021
42021
Training quantum Boltzmann machines with the β-variational quantum eigensolver
O Huijgen, L Coopmans, P Najafi, M Benedetti, HJ Kappen
Machine Learning: Science and Technology 5 (2), 025017, 2024
32024
Quantum Semidefinite Programming with Thermal Pure Quantum States
O Watts, Y Kikuchi, L Coopmans
arXiv preprint arXiv:2310.07774, 2023
22023
Data-driven time propagation of quantum systems with neural networks
J Nelson, L Coopmans, G Kells, S Sanvito
Physical Review B 106 (4), 045402, 2022
22022
Lindblad engineering for quantum Gibbs state preparation under the eigenstate thermalization hypothesis
E Brunner, L Coopmans, G Matos, M Rosenkranz, F Sauvage, Y Kikuchi
arXiv preprint arXiv:2412.17706, 2024
2024
Learning to generate high-dimensional distributions with low-dimensional quantum Boltzmann machines
C Tüysüz, M Demidik, L Coopmans, E Rinaldi, V Croft, Y Haddad, ...
arXiv preprint arXiv:2410.16363, 2024
2024
Measuring Correlation and Entanglement between Molecular Orbitals on a Trapped-Ion Quantum Computer
G Greene-Diniz, CN Self, M Krompiec, L Coopmans, M Benedetti, ...
arXiv preprint arXiv:2409.15908, 2024
2024
Apparatus And Method For Optimizing, Monitoring And Controlling A Real Physical System
L Coopmans, Y Kikuchi, M Benedetti, M Fiorentini
US Patent App. 18/201,410, 2023
2023
Learning probability mass functions of particle jet events with quantum Boltzmann machines
C Tüysüz, M Demidik, L Coopmans, E Rinaldi, V Croft, Y Haddad, ...
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