Stefan Sack
Graduate School
Serbyn Group
6 Publications
2024 | Journal Article | IST-REx-ID: 15122 | 
Sack, Stefan, and Daniel J. Egger. “Large-Scale Quantum Approximate Optimization on Nonplanar Graphs with Machine Learning Noise Mitigation.” Physical Review Research. American Physical Society, 2024. https://doi.org/10.1103/PhysRevResearch.6.013223.
[Published Version]
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| DOI
| arXiv
2023 | Journal Article | IST-REx-ID: 13125 |
Sack, Stefan, Raimel A Medina Ramos, Richard Kueng, and Maksym Serbyn. “Recursive Greedy Initialization of the Quantum Approximate Optimization Algorithm with Guaranteed Improvement.” Physical Review A. American Physical Society, 2023. https://doi.org/10.1103/physreva.107.062404.
[Published Version]
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| arXiv
2023 | Thesis | IST-REx-ID: 14622
Sack, Stefan. “Improving Variational Quantum Algorithms: Innovative Initialization Techniques and Extensions to Qudit Systems.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:14622.
[Published Version]
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2022 | Journal Article | IST-REx-ID: 12111 |
Stocker, Lidia, Stefan Sack, Michael S. Ferguson, and Oded Zilberberg. “Entanglement-Based Observables for Quantum Impurities.” Physical Review Research. American Physical Society, 2022. https://doi.org/10.1103/PhysRevResearch.4.043177.
[Published Version]
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2022 | Journal Article | IST-REx-ID: 11471 |
Sack, Stefan, Raimel A Medina Ramos, Alexios Michailidis, Richard Kueng, and Maksym Serbyn. “Avoiding Barren Plateaus Using Classical Shadows.” PRX Quantum. American Physical Society, 2022. https://doi.org/10.1103/prxquantum.3.020365.
[Published Version]
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| DOI
| WoS
| arXiv
2021 | Journal Article | IST-REx-ID: 9760 |
Sack, Stefan, and Maksym Serbyn. “Quantum Annealing Initialization of the Quantum Approximate Optimization Algorithm.” Quantum. Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften, 2021. https://doi.org/10.22331/Q-2021-07-01-491.
[Published Version]
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| Files available
| DOI
| WoS
| arXiv
6 Publications
2024 | Journal Article | IST-REx-ID: 15122 |
Sack, Stefan, and Daniel J. Egger. “Large-Scale Quantum Approximate Optimization on Nonplanar Graphs with Machine Learning Noise Mitigation.” Physical Review Research. American Physical Society, 2024. https://doi.org/10.1103/PhysRevResearch.6.013223.
[Published Version]
View
| Files available
| DOI
| arXiv
2023 | Journal Article | IST-REx-ID: 13125 |
Sack, Stefan, Raimel A Medina Ramos, Richard Kueng, and Maksym Serbyn. “Recursive Greedy Initialization of the Quantum Approximate Optimization Algorithm with Guaranteed Improvement.” Physical Review A. American Physical Society, 2023. https://doi.org/10.1103/physreva.107.062404.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2023 | Thesis | IST-REx-ID: 14622
Sack, Stefan. “Improving Variational Quantum Algorithms: Innovative Initialization Techniques and Extensions to Qudit Systems.” Institute of Science and Technology Austria, 2023. https://doi.org/10.15479/at:ista:14622.
[Published Version]
View
| Files available
| DOI
2022 | Journal Article | IST-REx-ID: 12111 |
Stocker, Lidia, Stefan Sack, Michael S. Ferguson, and Oded Zilberberg. “Entanglement-Based Observables for Quantum Impurities.” Physical Review Research. American Physical Society, 2022. https://doi.org/10.1103/PhysRevResearch.4.043177.
[Published Version]
View
| Files available
| DOI
2022 | Journal Article | IST-REx-ID: 11471 |
Sack, Stefan, Raimel A Medina Ramos, Alexios Michailidis, Richard Kueng, and Maksym Serbyn. “Avoiding Barren Plateaus Using Classical Shadows.” PRX Quantum. American Physical Society, 2022. https://doi.org/10.1103/prxquantum.3.020365.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2021 | Journal Article | IST-REx-ID: 9760 |
Sack, Stefan, and Maksym Serbyn. “Quantum Annealing Initialization of the Quantum Approximate Optimization Algorithm.” Quantum. Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften, 2021. https://doi.org/10.22331/Q-2021-07-01-491.
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv