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)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper