Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation
S. Sack, D.J. Egger, Physical Review Research 6 (2024).

Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement
S. Sack, R.A. Medina Ramos, R. Kueng, M. Serbyn, Physical Review A 107 (2023).

Improving variational quantum algorithms: Innovative initialization techniques and extensions to qudit systems
S. Sack, Improving Variational Quantum Algorithms: Innovative Initialization Techniques and Extensions to Qudit Systems, Institute of Science and Technology Austria, 2023.

Entanglement-based observables for quantum impurities
L. Stocker, S. Sack, M.S. Ferguson, O. Zilberberg, Physical Review Research 4 (2022).

Avoiding barren plateaus using classical shadows
S. Sack, R.A. Medina Ramos, A. Michailidis, R. Kueng, M. Serbyn, PRX Quantum 3 (2022).

Quantum annealing initialization of the quantum approximate optimization algorithm
S. Sack, M. Serbyn, Quantum 5 (2021).