S. Sack and D. J. Egger, “Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation,” Physical Review Research, vol. 6, no. 1. American Physical Society, 2024.

S. Sack, R. A. Medina Ramos, R. Kueng, and M. Serbyn, “Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement,” Physical Review A, vol. 107, no. 6. American Physical Society, 2023.

S. Sack, “Improving variational quantum algorithms: Innovative initialization techniques and extensions to qudit systems,” Institute of Science and Technology Austria, 2023.

L. Stocker, S. Sack, M. S. Ferguson, and O. Zilberberg, “Entanglement-based observables for quantum impurities,” Physical Review Research, vol. 4, no. 4. American Physical Society, 2022.

S. Sack, R. A. Medina Ramos, A. Michailidis, R. Kueng, and M. Serbyn, “Avoiding barren plateaus using classical shadows,” PRX Quantum, vol. 3, no. 2. American Physical Society, 2022.

S. Sack and M. Serbyn, “Quantum annealing initialization of the quantum approximate optimization algorithm,” Quantum, vol. 5. Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften, 2021.