Quantum machine learning in high energy physics

  title={Quantum machine learning in high energy physics},
  author={Wen Guan and Gabriel N. Perdue and Arthur Pesah and Maria Schuld and Koji Terashi and Sofia Vallecorsa and J. R. Vlimant},
  journal={Machine Learning: Science and Technology},
Machine learning has been used in high energy physics (HEP) for a long time, primarily at the analysis level with supervised classification. Quantum computing was postulated in the early 1980s as way to perform computations that would not be tractable with a classical computer. With the advent of noisy intermediate-scale quantum computing devices, more quantum algorithms are being developed with the aim at exploiting the capacity of the hardware for machine learning applications. An interesting… 

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