Quantum Machine Learning
4 papers for year 2019 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 1-4 of 4
A Predictive Tool for Electrophilic Aromatic Substitutions Using Machine Learning.
Tomberg A, Johansson MJ, Norrby PO
2019
PubMed
The Journal of organic chemistry
Gaussian Process Regression Models for the Prediction of Hydrogen Bond Acceptor Strengths.
Bauer CA, Schneider G, Göller AH
2019
PubMed
Molecular informatics
Prediction of Major Regio-, Site-, and Diastereoisomers in Diels-Alder Reactions by Using Machine-Learning: The Importance of Physically Meaningful Descriptors.
Beker W, Gajewska EP, Badowski T, Grzybowski BA
2019
PubMed
Angewandte Chemie (International ed. in English)
Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces.
Ding W, Lin CT, Cao Z
2019
PubMed
IEEE transactions on neural networks and learning systems