Gaussian initializations help deep variational quantum circuits escape from the barren plateau

@article{Zhang2022GaussianIH,
  title={Gaussian initializations help deep variational quantum circuits escape from the barren plateau},
  author={Kaining Zhang and Min-Hsiu Hsieh and Liu Liu and Dacheng Tao},
  journal={ArXiv},
  year={2022},
  volume={abs/2203.09376}
}
Variational quantum circuits have been widely employed in quantum simulation and quantum machine learning in recent years. However, quantum circuits with random structures have poor trainability due to the exponentially vanishing gradient with respect to the circuit depth and the qubit number. This result leads to a general belief that deep quantum circuits will not be feasible for practical tasks. In this work, we propose an initialization strategy with theoretical guarantees for the vanishing… 
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