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Quantum secure learning with classical samples

  • Published:2021-04-08 Issue:4 Volume:103 Page:
  • ISSN:2469-9926
  • Container-title:Physical Review A
  • language:en
  • Short-container-title:Phys. Rev. A

Author:

Song Wooyeong,Lim YoungrongORCID,Kwon Hyukjoon,Adesso Gerardo,Wieśniak Marcin,Pawłowski Marcin,Kim Jaewan,Bang JeonghoORCID

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Electronics and Telecommunications Research Institute

Korea Institute of Science and Technology

European Research Council

Foundational Questions Institute

Narodowe Centrum Nauki

Fundacja na rzecz Nauki Polskiej

Institute of Information and Communications Technology Planning and Evaluation

Korea Institute for Advanced Study

Publisher

American Physical Society (APS)

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Biology and medicine in the landscape of quantum advantages;Journal of The Royal Society Interface;2022-11

3. Generation of High-Resolution Handwritten Digits with an Ion-Trap Quantum Computer;Physical Review X;2022-07-15

4. Photonic Kernel Machine Learning for Ultrafast Spectral Analysis;Physical Review Applied;2022-03-31

5. Secure Quantum Pattern Communication;PRX Quantum;2022-01-19
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