Corpus ID: 236429023

Clustering and enhanced classification using a hybrid quantum autoencoder

@inproceedings{Srikumar2021ClusteringAE,
  title={Clustering and enhanced classification using a hybrid quantum autoencoder},
  author={Maiyuren Srikumar and Charles D. Hill and Lloyd C. L. Hollenberg},
  year={2021}
}
Quantum machine learning (QML) is a rapidly growing area of research at the intersection of classical machine learning and quantum information theory. One area of considerable interest is the use of QML to learn information contained within quantum states themselves. In this work, we propose a novel approach in which the extraction of information from quantum states is undertaken in a classical representational-space, obtained through the training of a hybrid quantum autoencoder (HQA). Hence… Expand

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