Recursive QAOA outperforms the original QAOA for the MAX-CUT problem on complete graphs
Quantum approximate optimization algorithms are hybrid quantum-classical variational algorithms designed to approximately solve combinatorial optimization problems such as the MAX-CUT problem. In spite of its potential for near-term quantum applications, it has been known that quantum approximate op...
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Veröffentlicht in: | arXiv.org 2023-02 |
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Sprache: | eng |
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