Seguir
Stefan H. Sack
Stefan H. Sack
IST Austria
Dirección de correo verificada de ist.ac.at
Título
Citado por
Citado por
Año
Parameterized quantum circuits as machine learning models
M Benedetti, E Lloyd, S Sack, M Fiorentini
Quantum Science and Technology 4 (4), 043001, 2019
8132019
Avoiding barren plateaus using classical shadows
SH Sack, RA Medina, AA Michailidis, R Kueng, M Serbyn
PRX Quantum 3 (020365), 2022
982022
Quantum annealing initialization of the quantum approximate optimization algorithm
SH Sack, M Serbyn
Quantum 5, 491, 2021
942021
Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement
SH Sack, RA Medina, R Kueng, M Serbyn
Physical Review A 107 (6), 062404, 2023
15*2023
Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation
SH Sack, DJ Egger
Physical Review Research 6 (1), 013223, 2024
132024
Entanglement-based observables for quantum impurities
L Stocker, SH Sack, MS Ferguson, O Zilberberg
Physical Review Research 4 (4), 043177, 2022
52022
Elastic propagation of fast electron vortices through amorphous materials
S Löffler, S Sack, T Schachinger
Acta Crystallographica Section A: Foundations and Advances 75 (6), 902-910, 2019
52019
Solving non-native combinatorial optimization problems using hybrid quantum-classical algorithms
J Wurtz, S Sack, ST Wang
arXiv preprint arXiv:2403.03153, 2024
22024
Electron vortices in solids-from crystalline to amorphous materials
S Löffler, S Sack, T Schachinger
MC 2017 Lausanne-Microscopy Conference, 760-761, 2017
2017
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–9