Representation Theory for Geometric Quantum Machine Learning.
Michael RagonePaolo BracciaQuynh T. NguyenLouis SchatzkiPatrick J. ColesFrederic SauvageMartin LaroccaMarco CerezoPublished in: CoRR (2022)
Keyphrases
- machine learning
- quantum mechanics
- learning algorithm
- quantum computing
- pattern recognition
- computer science
- image representation
- data sets
- feature construction
- theoretical basis
- learning systems
- quantum probability
- symbolic description
- general theory
- representation scheme
- inductive learning
- machine learning methods
- information extraction
- feature space
- feature selection
- data mining