Empirical Inference

Quantum machine learning: a classical perspective

2018

Article

ei


Author(s): Ciliberto, C. and Herbster, M. and Ialongo, A. D. and Pontil, M. and Rocchetto, A. and Severini, S. and Wossnig, L.
Journal: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume: 474
Number (issue): 2209
Pages: article no. 20170551
Year: 2018

Department(s): Empirical Inference
Research Project(s): Kernel Methods
Bibtex Type: Article (article)

DOI: 10.1098/rspa.2017.0551
State: Published
URL: https://royalsocietypublishing.org/doi/abs/10.1098/rspa.2017.0551

BibTex

@article{Cilibertoetal18,
  title = {Quantum machine learning: a classical perspective},
  author = {Ciliberto, C. and Herbster, M. and Ialongo, A. D. and Pontil, M. and Rocchetto, A. and Severini, S. and Wossnig, L.},
  journal = {Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences},
  volume = {474},
  number = {2209},
  pages = {article no. 20170551},
  year = {2018},
  doi = {10.1098/rspa.2017.0551},
  url = {https://royalsocietypublishing.org/doi/abs/10.1098/rspa.2017.0551}
}