A Low-Complexity Quantum Principal Component Analysis Algorithm

A Low-Complexity Quantum Principal Component Analysis Algorithm

In this article, we propose a low-complexity quantum principal component analysis (qPCA) algorithm. Similar to the state-of-the-art qPCA, it achieves dimension reduction by extracting principal components of the data matrix, rather than all components of the data matrix, to quantum registers, so tha...

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Bibliographic Details
Main Authors: Chen He, Jiazhen Li, Weiqi Liu, Jinye Peng, Z. Jane Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Quantum computing
quantum principal component analysis (qPCA)
quantum singular-value threshold
Online Access:https://ieeexplore.ieee.org/document/9669030/

Internet

https://ieeexplore.ieee.org/document/9669030/

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