When reinforcement learning stands out in quantum control? A comparative study on state preparation

6 Feb 2019Xiao-Ming ZhangZezhu WeiRaza AsadXu-Chen YangXin Wang

Reinforcement learning has been widely used in many problems including quantum control of qubits. However, such problems can, at the same time, be solved by traditional, non-machine-learning based methods such as stochastic gradient descendent and Krotov algorithms, and it remains unclear which one is most suitable when the control has specific constraints... (read more)

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