Stefan Sack

Graduate School
Serbyn Group

6 Publications

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[6]
2024 | Journal Article | IST-REx-ID: 15122 | OA
Sack S, Egger DJ. 2024. Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation. Physical Review Research. 6(1), 013223.
[Published Version] View | Files available | DOI | arXiv
 
[5]
2023 | Journal Article | IST-REx-ID: 13125 | OA
Sack S, Medina Ramos RA, Kueng R, Serbyn M. 2023. Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement. Physical Review A. 107(6), 062404.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[4]
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.
[Published Version] View | Files available | DOI
 
[3]
2022 | Journal Article | IST-REx-ID: 12111 | OA
Stocker L, Sack S, Ferguson MS, Zilberberg O. 2022. Entanglement-based observables for quantum impurities. Physical Review Research. 4(4), 043177.
[Published Version] View | Files available | DOI
 
[2]
2022 | Journal Article | IST-REx-ID: 11471 | OA
Sack S, Medina Ramos RA, Michailidis A, Kueng R, Serbyn M. 2022. Avoiding barren plateaus using classical shadows. PRX Quantum. 3(2), 020365.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[1]
2021 | Journal Article | IST-REx-ID: 9760 | OA
Sack S, Serbyn M. 2021. Quantum annealing initialization of the quantum approximate optimization algorithm. Quantum. 5, 491.
[Published Version] View | Files available | DOI | WoS | arXiv
 
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6 Publications

Mark all

[6]
2024 | Journal Article | IST-REx-ID: 15122 | OA
Sack S, Egger DJ. 2024. Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation. Physical Review Research. 6(1), 013223.
[Published Version] View | Files available | DOI | arXiv
 
[5]
2023 | Journal Article | IST-REx-ID: 13125 | OA
Sack S, Medina Ramos RA, Kueng R, Serbyn M. 2023. Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement. Physical Review A. 107(6), 062404.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[4]
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.
[Published Version] View | Files available | DOI
 
[3]
2022 | Journal Article | IST-REx-ID: 12111 | OA
Stocker L, Sack S, Ferguson MS, Zilberberg O. 2022. Entanglement-based observables for quantum impurities. Physical Review Research. 4(4), 043177.
[Published Version] View | Files available | DOI
 
[2]
2022 | Journal Article | IST-REx-ID: 11471 | OA
Sack S, Medina Ramos RA, Michailidis A, Kueng R, Serbyn M. 2022. Avoiding barren plateaus using classical shadows. PRX Quantum. 3(2), 020365.
[Published Version] View | Files available | DOI | WoS | arXiv
 
[1]
2021 | Journal Article | IST-REx-ID: 9760 | OA
Sack S, Serbyn M. 2021. Quantum annealing initialization of the quantum approximate optimization algorithm. Quantum. 5, 491.
[Published Version] View | Files available | DOI | WoS | arXiv
 
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