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

Solving nonnative combinatorial optimization problems using hybrid quantum–classical algorithms
J. Wurtz, S. Sack, S.-T. Wang, IEEE Transactions on Quantum Engineering 5 (2024) 1–14.

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.

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).

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).