Simulating a perceptron on a quantum computer

@article{Schuld2014SimulatingAP,
  title={Simulating a perceptron on a quantum computer},
  author={M. Schuld and I. Sinayskiy and Francesco Petruccione},
  journal={ArXiv},
  year={2014},
  volume={abs/1412.3635}
}
Abstract Perceptrons are the basic computational unit of artificial neural networks, as they model the activation mechanism of an output neuron due to incoming signals from its neighbours. As linear classifiers, they play an important role in the foundations of machine learning. In the context of the emerging field of quantum machine learning, several attempts have been made to develop a corresponding unit using quantum information theory. Based on the quantum phase estimation algorithm, this… Expand
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