Using Recurrent Neural Networks to Optimize Dynamical Decoupling for Quantum Memory

1 Apr 2016Moritz AugustXiaotong Ni

We utilize machine learning models which are based on recurrent neural networks to optimize dynamical decoupling (DD) sequences. DD is a relatively simple technique for suppressing the errors in quantum memory for certain noise models... (read more)

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