# Classification with Quantum Neural Networks on Near Term Processors

@article{Farhi2018ClassificationWQ, title={Classification with Quantum Neural Networks on Near Term Processors}, author={Edward Farhi and Hartmut Neven}, journal={arXiv: Quantum Physics}, year={2018} }

We introduce a quantum neural network, QNN, that can represent labeled data, classical or quantum, and be trained by supervised learning. The quantum circuit consists of a sequence of parameter dependent unitary transformations which acts on an input quantum state. For binary classification a single Pauli operator is measured on a designated readout qubit. The measured output is the quantum neural network’s predictor of the binary label of the input state. We show through classical simulation…

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