Self‐Adaptive Quantum Kernel Principal Component Analysis for Compact Readout of Chemiresistive Sensor Arrays (Adv. Sci. 15/2025)
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DOI: 10.1002/advs.202570102
Abstract: Quantum Machine Learning In article number 2411573, Zeheng Wang, Timothy van der Laan, and Muhammad Usman introduce a quantum algorithm‐driven framework to compress chemiresistive sensor data. By employing a self‐adaptive quantum kernel (SAQK), classical data… read more here.
Keywords: principal component; self adaptive; adaptive quantum; chemiresistive sensor ... See more keywords
IoT driven smart health monitoring for heart disease prediction using quantum kernel enhanced sardine diffusion and CNN
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DOI: 10.1038/s41598-025-99990-x
Abstract: Heart disease is one of the major causes of death worldwide, and the traditional diagnostic procedures typically cause delays in treatment, particularly in low-resource regions. In this article, we propose a novel IoT-based Quantum Kernel-Enhanced… read more here.
Keywords: kernel enhanced; heart; heart disease; iot ... See more keywords
Power Characterization of Noisy Quantum Kernels
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DOI: 10.1109/tnnls.2025.3545545
Abstract: Quantum kernel methods have been widely recognized as one of the promising quantum machine learning (QML) algorithms that have the potential to achieve quantum advantages. However, their capabilities may be severely degraded by inevitable noises… read more here.
Keywords: number; quantum kernels; noisy quantum; quantum ... See more keywords