Not stated in source
2019 Needs review
Quantum machine learning
Abstract
We use reinforcement learning techniques to optimize the Quantum Approximate Optimization Algorithm when applied to the MaxCut problem. We explore Q-learning based techniques both for continuous and discrete action environments with regular and irregular graphs.
Keywords
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