Quantum Machine Learning
285 papers from PubMed
Quantum Machine Learning Research Context
This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.
Showing 1-12 of 285
A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English.
Mbogo BP, Fernsebner SR, Lawal MM, Lundberg DJ, Kucukkal TG
A Dataset of Benchmark Boolean Models for Gene Regulatory Networks.
Hotstegs CLO, Llano JP, Kestler HA
A federated deep learning approach for SDN security with quantum optimized feature selection and hybrid MSDC net architecture.
Rohith S, Logeswari G, Tamilarasi K, Sudhakaran G
A Large-Scale Nanocrystal Database with Aligned Synthesis and Properties, Enabling Generative Inverse Design.
Gu K, Liang Y, Peng S, Guo A, Fu Y, Zhong H
A Multi-Band Temperature Measurement Data Retrieval Method Based on the Chaotic Artificial Hummingbird Algorithm (CAHA).
You W, Hao X, Jia R, Pei P, Feng S, Wang X
A novel quantum convolutional neural network framework for quantum-enhanced classification of pixelated colour images.
Daka C, Bhattacharyya S
A novel qVGG-4 model for optimizing a parameterized quantum circuit in a quantum-IoT-based brain tumor detection and monitoring system.
Ahad MT, Song B, Li Y
A physics-based framework for remote sensing inversion of fluorescent dissolved organic matter: incorporating fluorescence as an inelastic source term.
Zhang R, Deng R, Ying J
A Polarization-Sensitive ReS(2)/Si Junction Field-Effect Synaptic Transistor for Biometric Authentication and Imaging Applications.
Chai J, Yuan R, Chen A, Xu X, Lu J, Zhang X, Sun J, Qiao B, Zou L, Feng P, Duan S, Hu H, He X, Xue F, Zhou F, Li L, Bodepudi SC, Yu B, Xu Y
A prediction framework for the state of health of an electric vehicle battery pack.
Wang FK, Kebede GA
A Universal Near-Zero-Background Biosensing Platform: Engineered p-MXene/Quantum Dot@Aptamer Nanocomposites for Ultrasensitive Molecular Detection.
Yang C, Zhao Z, Yang Q, Fang Y, Sun J, Du L, Wang Y, Li X, Su N, Wu J, Liu M, Liu Y, Bai J
Accelerating organic luminescent material discovery: from quantum chemical calculations to machine learning.
Zeng Y, Zhang SC, Guo WY, Zheng XY