End-to-end protocol for high-quality quantum approximate optimization algorithm parameters with few shots
The quantum approximate optimization algorithm (QAOA) is a quantum heuristic for combinatorial optimization that has been demonstrated to scale better than state-of-the-art classical solvers for some problems. For a given problem instance, QAOA performance depends crucially on the choice of the para...
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| Main Authors: | Tianyi Hao, Zichang He, Ruslan Shaydulin, Jeffrey Larson, Marco Pistoia |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2025-08-01
|
| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/24gg-7p8z |
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