Quantum Kerr Learning

@article{Liu2022QuantumKL,
  title={Quantum Kerr Learning},
  author={Junyu Liu and Changchun Zhong and Matthew Otten and Cristian L. Cortes and Chao-Wen Ti and Stephen K. Gray and Xu Han},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.12004}
}
Quantum machine learning is a rapidly evolving area that could facilitate important applications for quantum computing and significantly impact data science. In our work, we argue that a single Kerr mode might provide some extra quantum enhancements when using quantum kernel methods based on various reasons from complexity theory and physics. Furthermore, we establish an experimental protocol, which we call quantum Kerr learning based on circuit QED. A detailed study using the kernel method… 

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