Quantum Machine Learning
4,205 papers
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 4201-4205 of 4,205
Prediction of inhibitor binding free energies by quantum neural networks. Nucleoside analogues binding to trypanosomal nucleoside hydrolase.
Braunheim BB, Miles RW, Schramm VL, Schwartz SD
1999
PubMed
Biochemistry
Predictive carcinogenicity: a model for aromatic compounds, with nitrogen-containing substituents, based on molecular descriptors using an artificial neural network.
Gini G, Lorenzini M, Benfenati E, Grasso P, Bruschi M
1999
PubMed
Journal of chemical information and computer sciences
Quality of preimplant low-dose tomography.
Ekestubbe A, Gröndahl K, Gröndahl HG
1999
PubMed
Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics
Structure-activity relationship studies of carcinogenic activity of polycyclic aromatic hydrocarbons using calculated molecular descriptors with principal component analysis and neural network methods.
Vendrame R, Braga RS, Takahata Y, Galvão DS
1999
PubMed
Journal of chemical information and computer sciences
RNA quantitation by fluorescence-based solution assay: RiboGreen reagent characterization.
Jones LJ, Yue ST, Cheung CY, Singer VL
1998
PubMed
Analytical biochemistry