Quantum approximate optimization via learning-based adaptive optimization
Abstract Combinatorial optimization problems are ubiquitous and computationally hard to solve in general. Quantum approximate optimization algorithm (QAOA), one of the most representative quantum-classical hybrid algorithms, is designed to solve combinatorial optimization problems by transforming th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-03-01
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| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-024-01577-x |