Practical advantage of quantum machine learning in ghost imaging

Tailong Xiao, Xinliang Zhai, Xiaoyan Wu, Jianping Fan, Guihua Zeng

Open source

DOI: 10.1038/s42005-023-01290-1
Published: 2023-07-10
Container: Communications Physics
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s42005-023-01290-1,
  title = {Practical advantage of quantum machine learning in ghost imaging},
  author = {Tailong Xiao and Xinliang Zhai and Xiaoyan Wu and Jianping Fan and Guihua Zeng},
  year = {2023},
  journal = {Communications Physics},
  doi = {10.1038/s42005-023-01290-1},
  url = {https://doi.org/10.1038/s42005-023-01290-1}
}

RIS

TY  - JOUR
TI  - Practical advantage of quantum machine learning in ghost imaging
AU  - Tailong Xiao
AU  - Xinliang Zhai
AU  - Xiaoyan Wu
AU  - Jianping Fan
AU  - Guihua Zeng
PY  - 2023
JO  - Communications Physics
DO  - 10.1038/s42005-023-01290-1
UR  - https://doi.org/10.1038/s42005-023-01290-1
ER  -

APA

Xiao, T., Zhai, X., Wu, X., Fan, J., & Zeng, G. (2023). Practical advantage of quantum machine learning in ghost imaging. Communications Physics. https://doi.org/10.1038/s42005-023-01290-1

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crossref · retrieved 2026-11-10T13:46:34.664Z