Reinforcement learning enhanced quantum-inspired algorithm for combinatorial optimization
Quantum hardware and quantum-inspired algorithms are becoming increasingly popular for combinatorial optimization. However, these algorithms may require careful hyperparameter tuning for each problem instance. We use a reinforcement learning agent in conjunction with a quantum-inspired algorithm to...
| Main Authors: | , , , , |
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| Formato: | Journal article |
| Idioma: | English |
| Publicado: |
IOP Publishing
2020
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