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...
Main Authors: | Chen He, Jiazhen Li, Weiqi Liu, Jinye Peng, Z. Jane Wang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Transactions on Quantum Engineering |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9669030/ |
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