• DOI:10.1038/s41534-020-0272-6
Corpus ID: 202539686

Quantum classifier with tailored quantum kernel

@article{Blank2019QuantumCW,
  title={Quantum classifier with tailored quantum kernel},
  author={C. Blank and D. Park and J. Rhee and Francesco Petruccione},
  journal={npj Quantum Information},
  year={2019},
  volume={6},
  pages={1-7}
}

C. Blank, D. Park, +1 author Francesco Petruccione

Published 2019

Computer Science, Physics

npj Quantum Information

Kernel methods have a wide spectrum of applications in machine learning. Recently, a link between quantum computing and kernel theory has been formally established, opening up opportunities for quantum techniques to enhance various existing machine-learning methods. We present a distance-based quantum classifier whose kernel is based on the quantum state fidelity between training and test data. The quantum kernel can be tailored systematically with a quantum circuit to raise the kernel to an… CONTINUE READING

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