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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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
IEEE
2022-01-01
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| シリーズ: | IEEE Transactions on Quantum Engineering |
| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/9669030/ |
| タグ: |
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