Noise-robust optimization of quantum machine learning models for polymer properties using a simulator and validated on the IonQ quantum computer

Quantum machine learning for predicting the physical properties of polymer materials based on the molecular descriptors of monomers was investigated. Under the stochastic variation of the expected predicted values obtained from quantum circuits due to finite sampling, the methods proposed in previou...

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Detalles Bibliográficos
Autores principales: Ishiyama, Yuki, Nagai, Ryutaro, Mieda, Shunsuke, Takei, Yuki, Minato, Yuichiro, Natsume, Yutaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643424/
https://www.ncbi.nlm.nih.gov/pubmed/36347908
http://dx.doi.org/10.1038/s41598-022-22940-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643424/
https://www.ncbi.nlm.nih.gov/pubmed/36347908
http://dx.doi.org/10.1038/s41598-022-22940-4

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