Resonant quantum principal component analysis

Resonant quantum principal component analysis

Principal component analysis (PCA) has been widely adopted to reduce the dimension of data while preserving the information. The quantum version of PCA (qPCA) can be used to analyze an unknown low-rank density matrix by rapidly revealing the principal components of it, i.e., the eigenvectors of the...

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Bibliographic Details
Main Authors: Li, Zhaokai, Chai, Zihua, Guo, Yuhang, Ji, Wentao, Wang, Mengqi, Shi, Fazhan, Wang, Ya, Lloyd, Seth, Du, Jiangfeng
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2022
Online Access:https://hdl.handle.net/1721.1/138865

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https://hdl.handle.net/1721.1/138865

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