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Implementation of a Hamming distance–like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne

Motivated by the problem of classifying individuals with a disease versus controls using a functional genomic attribute as input, we present relatively efficient general purpose inner product–based kernel classifiers to classify the test as a normal or disease sample. We encode each training sample...

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Detalles Bibliográficos
Autores principales: Kathuria, Kunal, Ratan, Aakrosh, McConnell, Michael, Bekiranov, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446251/
https://www.ncbi.nlm.nih.gov/pubmed/32879908
http://dx.doi.org/10.1007/s42484-020-00017-7

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