Quantum machine learning with differential privacy

Quantum machine learning (QML) can complement the growing trend of using learned models for a myriad of classification tasks, from image recognition to natural speech processing. There exists the potential for a quantum advantage due to the intractability of quantum operations on a classical compute...

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Detalles Bibliográficos
Autores principales: Watkins, William M., Chen, Samuel Yen-Chi, Yoo, Shinjae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922308/
https://www.ncbi.nlm.nih.gov/pubmed/36774365
http://dx.doi.org/10.1038/s41598-022-24082-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922308/
https://www.ncbi.nlm.nih.gov/pubmed/36774365
http://dx.doi.org/10.1038/s41598-022-24082-z

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