Cargando…
A Quantum-Classical Hybrid Solution for Deep Anomaly Detection
Machine learning (ML) has achieved remarkable success in a wide range of applications. In recent ML research, deep anomaly detection (AD) has been a hot topic with the aim of discriminating among anomalous data with deep neural networks (DNNs). Notably, image AD is one of the most representative tas...
Autores principales: | Wang, Maida, Huang, Anqi, Liu, Yong, Yi, Xuming, Wu, Junjie, Wang, Siqi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047636/ https://www.ncbi.nlm.nih.gov/pubmed/36981316 http://dx.doi.org/10.3390/e25030427 |
Ejemplares similares
-
Unravelling physics beyond the standard model with classical and quantum anomaly detection
por: Schuhmacher, Julian, et al.
Publicado: (2023) -
Hybrid quantum-classical approach to enhanced quantum metrology
por: Yang, Xiaodong, et al.
Publicado: (2021) -
Wavelength Assignment in Hybrid Quantum-Classical Networks
por: Bahrani, Sima, et al.
Publicado: (2018) -
Quantum–Classical Hybrid Systems and Ehrenfest’s Theorem
por: Sergi, Alessandro, et al.
Publicado: (2023) -
Hybrid Classical–Quantum Transfer Learning for Cardiomegaly Detection in Chest X-rays
por: Decoodt, Pierre, et al.
Publicado: (2023)