• Corpus ID: 9767785

Training a Binary Classifier with the Quantum Adiabatic Algorithm

@article{Neven2008TrainingAB,
  title={Training a Binary Classifier with the Quantum Adiabatic Algorithm},
  author={Hartmut Neven and Vasil S. Denchev and Geordie Rose and William G. Macready},
  journal={arXiv: Quantum Physics},
  year={2008}
}
This paper describes how to make the problem of binary classification amenable to quantum computing. A formulation is employed in which the binary classifier is constructed as a thresholded linear superposition of a set of weak classifiers. The weights in the superposition are optimized in a learning process that strives to minimize the training error as well as the number of weak classifiers used. No efficient solution to this problem is known. To bring it into a format that allows the… 

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