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 157-168 of 285
Proline-Based Structural Rules for Predicting Prolyl Endopeptidase Inhibitory Peptides from Food Proteins: In Vitro Validation and Multiscale Computational Characterization.
Huang SM, Li ML, Liu PJ, Hsu KC
QDCRNet: Quantum dilated convolutional recurrent network for virus detection using gene expression data.
Karthi S, Ramalingam T, Iyswarya R, Kumar DA
Quantifying cerebellar signal detectability in MEG and EEG in epilepsy using anatomically informed source modeling.
Matsubara T, Sohrabpour A, Ahlfors SP, Jas M, Samuelsson J, Sundaram P, Stufflebeam S
Quantum Chemistry-Driven Molecular Inverse Design of Stable Isomers with Data-Free Reinforcement Learning.
Calcagno F, Serfilippi L, Franceschelli G, Garavelli M, Musolesi M, Rivalta I
Quantum circuit complexity and unsupervised machine learning of topological order.
Che Y, Gneiting C, Wang X, Nori F
Quantum Dot Encoding for In-Solution Single-Molecule Biomarker Counting in Metastatic Prostate Cancer.
Kuo CW, Nalla S, Sarkar S, Lee W, Wang L, Kohli M, Smith AM
Quantum dot-DNA microsphere aptamer biosensor with AI-assisted structural modeling for rapid detection of the lung cancer biomarker USE1.
Kim MJ, Yum K, Kim D, Jang I, Park A, Jung M, Lee GD, Jin JO, Im W, Lee JB, Lee PC
Quantum engineering of GaAs nanoribbons for advanced thermoelectric energy conversion.
Goumri-Said S, Kanoun MB
Quantum Machine Learning in Laboratory Medicine: A Leap into the Future?
Zang C, Yang HS
Quantum swarm-optimized DV-Hop algorithm for accurate localization of weak nodes in wireless sensor networks.
Khan ZU, Gao H, Ma J, Aman M
Quantum-enhanced multimodal prognostic transformer for skin disease progression prediction and visualization.
Aravinda CV, Raja JE, Alasmari S
Quantum-Inspired Adaptive Meta-Heuristic-Machine Learning framework for resilient and energy-efficient task scheduling in multi-cloud ecosystems.
Divya N, Kiranbabu MNV, Babu GC