Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma

Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma

Abstract Research into quantum advantage is increasingly taking on an interdisciplinary character. In particular, quantum machine learning shows promising generalization capabilities, which we have exploited in the classification of hepatocellular carcinoma tissue based on microarray gene expression...

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Bibliographic Details
Main Authors: Domenico Pomarico, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Antonio Lacalamita, Marianna La Rocca, Tommaso Maggipinto, Ester Pantaleo, Sabina Tangaro, Sebastiano Stramaglia, Roberto Bellotti
Format: Article
Language:English
Published: Springer 2025-03-01
Series:Discover Applied Sciences
Subjects:
Quantum machine learning
Genes community
Generalization
Online Access:https://doi.org/10.1007/s42452-025-06638-6
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https://doi.org/10.1007/s42452-025-06638-6

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