The journal retracts the 03 July 2023 article cited above.
Following concerns regarding the originality of the article, an investigation was conducted in accordance with Frontiers’ policies. It was found that the complaint was valid and that the article should be retracted, because of an unacceptable level of similarity to the preprint https://doi.org/10.48550/arXiv.2210.02355 which is now published: Srikumar, M., Hill, C.D. & Hollenberg, L.C.L. A kernel-based quantum random forest for improved classification. Quantum Mach. Intell. 6, 10 (2024). https://doi.org/10.1007/s42484-023-00131-2.
The retraction of the article was approved by the Chief Editor of Frontiers in Physics and the Chief Executive Editor of Frontiers. The authors did not respond to the retraction.
Summary
Keywords
decision tree, Cost constraint, Bayesian algorithm, Quantum computing, quantum kernel Quantum Decision Tree Classification
Citation
Frontiers Editorial Office (2024) Retraction: Cost-sensitive classification algorithm combining the Bayesian algorithm and quantum decision tree. Front. Phys. 12:1465482. doi: 10.3389/fphy.2024.1465482
Received
16 July 2024
Accepted
16 July 2024
Published
22 July 2024
Approved by
Alex Hansen, NTNU, Norway
Volume
12 - 2024
Updates
Copyright
© 2024 Frontiers Editorial Office.
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*Correspondence: Frontiers Editorial Office, research.integrity@frontiersin.org
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