Corpus ID: 215754338

Efficient State Read-out for Quantum Machine Learning Algorithms

@article{Zhang2020EfficientSR,
  title={Efficient State Read-out for Quantum Machine Learning Algorithms},
  author={Kaining Zhang and Min-Hsiu Hsieh and Liu Liu and Dacheng Tao},
  journal={arXiv: Quantum Physics},
  year={2020}
}
Many quantum machine learning (QML) algorithms that claim speed-up over their classical counterparts only generate quantum states as solutions instead of their final classical description. The additional step to decode quantum states into classical vectors normally will destroy the quantum advantage in most scenarios because all existing tomographic methods require runtime that is polynomial with respect to the state dimension. In this Letter, we present an efficient readout protocol that… Expand

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