Data for "Limitations of Quantum Approximate Optimization in Solving Generic Higher-Order Constraint-Satisfaction Problems"
Open accessAbstract
Contains instances of random Max-kXOR problems as well as further results for the paper "Limitations of Quantum Approximate Optimization in Solving Generic Higher-Order Constraint-Satisfaction Problems".
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Registry
Cites
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Claims the paper makes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
All problem instances and corresponding results are publicly available.
“All problem instances and the corresponding results are publicly available [26].”
From Limitations of Quantum Approximate Optimization in Solving Generic Higher-Order Constraint-Satisfaction Problems (2024) · cites this paper as [26]
Cited by
Sorted by citations
Müller, T., Singh, A., Wilhelm, F. K., & Bode, T. (2024) · arXiv · doi:10.48550/arxiv.2411.19388 · Cited by 5 · see citing works
Self-citation
- Authors
- Müller, T., Singh, A., & Bode, T.
- Affiliations
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
- Forschungszentrum Jülich (DE)
- Venue
- Zenodo
- Publisher
- Zenodo
- Published
- 2024-12-02
- OpenAlex
- W6968764881
- Cited by
- 0
- References
- 0
- Type
- dataset
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Zenodo (CERN European Organization for Nuclear Research) (cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Complexity and Algorithms in Graphs
- Physical Sciences › Computer Science › Computer Networks and Communications › Constraint Satisfaction and Optimization
- Keywords
- combinatorial optimization
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