Detecting quantum entanglement with unsupervised learning

@article{Chen2021DetectingQE,
  title={Detecting quantum entanglement with unsupervised learning},
  author={Yiwei Chen and Yu Pan and Guofeng Zhang and Shuming Cheng},
  journal={Quantum Science \& Technology},
  year={2021},
  volume={7}
}
Quantum properties, such as entanglement and coherence, are indispensable resources in various quantum information processing tasks. However, there still lacks an efficient and scalable way to detecting these useful features especially for high-dimensional and multipartite quantum systems. In this work, we exploit the convexity of samples without the desired quantum features and design an unsupervised machine learning method to detect the presence of such features as anomalies. Particularly, in… 

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