
Quantum variants of machine learning algorithms are discussed with emphasis on methodology, learning techniques and applications in broad and distinct domains of chemical physics.
Chemical Physics (physics.chem-ph), Condensed Matter - Materials Science, Quantum Physics, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Computing Methodologies, Machine Learning, Physics - Chemical Physics, Quantum Theory, Quantum Physics (quant-ph), Algorithms
Chemical Physics (physics.chem-ph), Condensed Matter - Materials Science, Quantum Physics, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Computing Methodologies, Machine Learning, Physics - Chemical Physics, Quantum Theory, Quantum Physics (quant-ph), Algorithms
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 69 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
