Scalable Quantum Neural Networks for Classification. (arXiv:2208.07719v1 [quant-ph])

Many recent machine learning tasks resort to quantum 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 quantum computations. The limited quantum
resource on …

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