Stefan Sack
Graduate School
Serbyn Group
6 Publications
2024 | Journal Article | IST-REx-ID: 15122 | 
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.
[Published Version]
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| DOI
| arXiv
2023 | Journal Article | IST-REx-ID: 13125 |
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.
[Published Version]
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| WoS
| arXiv
2023 | Thesis | IST-REx-ID: 14622
S. Sack, “Improving variational quantum algorithms: Innovative initialization techniques and extensions to qudit systems,” Institute of Science and Technology Austria, 2023.
[Published Version]
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| Files available
| DOI
2022 | Journal Article | IST-REx-ID: 12111 |
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.
[Published Version]
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| Files available
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2022 | Journal Article | IST-REx-ID: 11471 |
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.
[Published Version]
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| Files available
| DOI
| WoS
| arXiv
2021 | Journal Article | IST-REx-ID: 9760 |
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.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
6 Publications
2024 | Journal Article | IST-REx-ID: 15122 |
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.
[Published Version]
View
| Files available
| DOI
| arXiv
2023 | Journal Article | IST-REx-ID: 13125 |
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.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2023 | Thesis | IST-REx-ID: 14622
S. Sack, “Improving variational quantum algorithms: Innovative initialization techniques and extensions to qudit systems,” Institute of Science and Technology Austria, 2023.
[Published Version]
View
| Files available
| DOI
2022 | Journal Article | IST-REx-ID: 12111 |
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.
[Published Version]
View
| Files available
| DOI
2022 | Journal Article | IST-REx-ID: 11471 |
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.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2021 | Journal Article | IST-REx-ID: 9760 |
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.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv