Stefan Sack

Graduate School
Serbyn Group

6 Publications

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[6]
2024 | Journal Article | IST-REx-ID: 15122 | OA
Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation
S. Sack, D.J. Egger, Physical Review Research 6 (2024).
[Published Version] View | Files available | DOI | arXiv
 
[5]
2023 | Journal Article | IST-REx-ID: 13125 | OA
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).
[Published Version] View | Files available | DOI | WoS | arXiv
 
[4]
2023 | Thesis | IST-REx-ID: 14622
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.
[Published Version] View | Files available | DOI
 
[3]
2022 | Journal Article | IST-REx-ID: 12111 | OA
Entanglement-based observables for quantum impurities
L. Stocker, S. Sack, M.S. Ferguson, O. Zilberberg, Physical Review Research 4 (2022).
[Published Version] View | Files available | DOI
 
[2]
2022 | Journal Article | IST-REx-ID: 11471 | OA
Avoiding barren plateaus using classical shadows
S. Sack, R.A. Medina Ramos, A. Michailidis, R. Kueng, M. Serbyn, PRX Quantum 3 (2022).
[Published Version] View | Files available | DOI | WoS | arXiv
 
[1]
2021 | Journal Article | IST-REx-ID: 9760 | OA
Quantum annealing initialization of the quantum approximate optimization algorithm
S. Sack, M. Serbyn, Quantum 5 (2021).
[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
Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation
S. Sack, D.J. Egger, Physical Review Research 6 (2024).
[Published Version] View | Files available | DOI | arXiv
 
[5]
2023 | Journal Article | IST-REx-ID: 13125 | OA
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).
[Published Version] View | Files available | DOI | WoS | arXiv
 
[4]
2023 | Thesis | IST-REx-ID: 14622
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.
[Published Version] View | Files available | DOI
 
[3]
2022 | Journal Article | IST-REx-ID: 12111 | OA
Entanglement-based observables for quantum impurities
L. Stocker, S. Sack, M.S. Ferguson, O. Zilberberg, Physical Review Research 4 (2022).
[Published Version] View | Files available | DOI
 
[2]
2022 | Journal Article | IST-REx-ID: 11471 | OA
Avoiding barren plateaus using classical shadows
S. Sack, R.A. Medina Ramos, A. Michailidis, R. Kueng, M. Serbyn, PRX Quantum 3 (2022).
[Published Version] View | Files available | DOI | WoS | arXiv
 
[1]
2021 | Journal Article | IST-REx-ID: 9760 | OA
Quantum annealing initialization of the quantum approximate optimization algorithm
S. Sack, M. Serbyn, Quantum 5 (2021).
[Published Version] View | Files available | DOI | WoS | arXiv
 
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    Citation Style: Default

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