Scalable Quantum Neural Networks for Classification

@article{Wu2022ScalableQN,
  title={Scalable Quantum Neural Networks for Classification},
  author={Jindi Wu and Zeyi Tao and Qun Li},
  journal={ArXiv},
  year={2022},
  volume={abs/2208.07719}
}
—Many recent machine learning tasks resort to quan- tum computing to improve classification accuracy and training efficiency by taking advantage of quantum mechanics, known as quantum machine learning (QML). The variational quantum circuit (VQC) is frequently utilized to build a quantum neural network (QNN), which is a counterpart to the conventional neural network. Due to hardware limitations, however, current quantum devices only allow one to use few qubits to represent data and perform simple… 
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