Stefan Sack
Graduate School
Serbyn Group
6 Publications
2024 | Journal Article | IST-REx-ID: 15122 |
Sack, S., & Egger, D. J. (2024). Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation. Physical Review Research. American Physical Society. https://doi.org/10.1103/PhysRevResearch.6.013223
[Published Version]
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| DOI
| arXiv
2023 | Journal Article | IST-REx-ID: 13125 |
Sack, S., Medina Ramos, R. A., Kueng, R., & Serbyn, M. (2023). Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement. Physical Review A. American Physical Society. https://doi.org/10.1103/physreva.107.062404
[Published Version]
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| DOI
| WoS
| arXiv
2023 | Thesis | IST-REx-ID: 14622
Sack, S. (2023). Improving variational quantum algorithms: Innovative initialization techniques and extensions to qudit systems. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14622
[Published Version]
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| Files available
| DOI
2022 | Journal Article | IST-REx-ID: 12111 |
Stocker, L., Sack, S., Ferguson, M. S., & Zilberberg, O. (2022). Entanglement-based observables for quantum impurities. Physical Review Research. American Physical Society. https://doi.org/10.1103/PhysRevResearch.4.043177
[Published Version]
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| DOI
2022 | Journal Article | IST-REx-ID: 11471 |
Sack, S., Medina Ramos, R. A., Michailidis, A., Kueng, R., & Serbyn, M. (2022). Avoiding barren plateaus using classical shadows. PRX Quantum. American Physical Society. https://doi.org/10.1103/prxquantum.3.020365
[Published Version]
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| Files available
| DOI
| WoS
| arXiv
2021 | Journal Article | IST-REx-ID: 9760 |
Sack, S., & Serbyn, M. (2021). Quantum annealing initialization of the quantum approximate optimization algorithm. Quantum. Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften. https://doi.org/10.22331/Q-2021-07-01-491
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
6 Publications
2024 | Journal Article | IST-REx-ID: 15122 |
Sack, S., & Egger, D. J. (2024). Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation. Physical Review Research. American Physical Society. https://doi.org/10.1103/PhysRevResearch.6.013223
[Published Version]
View
| Files available
| DOI
| arXiv
2023 | Journal Article | IST-REx-ID: 13125 |
Sack, S., Medina Ramos, R. A., Kueng, R., & Serbyn, M. (2023). Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement. Physical Review A. American Physical Society. https://doi.org/10.1103/physreva.107.062404
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2023 | Thesis | IST-REx-ID: 14622
Sack, S. (2023). Improving variational quantum algorithms: Innovative initialization techniques and extensions to qudit systems. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:14622
[Published Version]
View
| Files available
| DOI
2022 | Journal Article | IST-REx-ID: 12111 |
Stocker, L., Sack, S., Ferguson, M. S., & Zilberberg, O. (2022). Entanglement-based observables for quantum impurities. Physical Review Research. American Physical Society. https://doi.org/10.1103/PhysRevResearch.4.043177
[Published Version]
View
| Files available
| DOI
2022 | Journal Article | IST-REx-ID: 11471 |
Sack, S., Medina Ramos, R. A., Michailidis, A., Kueng, R., & Serbyn, M. (2022). Avoiding barren plateaus using classical shadows. PRX Quantum. American Physical Society. https://doi.org/10.1103/prxquantum.3.020365
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2021 | Journal Article | IST-REx-ID: 9760 |
Sack, S., & Serbyn, M. (2021). Quantum annealing initialization of the quantum approximate optimization algorithm. Quantum. Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften. https://doi.org/10.22331/Q-2021-07-01-491
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv