Quantum machine learning with subspace states.
Iordanis KerenidisAnupam PrakashPublished in: CoRR (2022)
Keyphrases
- machine learning
- low dimensional
- feature space
- high dimensional data
- machine learning methods
- machine learning algorithms
- machine learning approaches
- learning tasks
- inductive learning
- dimensionality reduction
- feature selection
- quantum computing
- quantum inspired
- pattern recognition
- active learning
- state transitions
- lower dimensional
- subspace clustering
- data analysis
- computer vision
- data mining
- learning problems
- quantum computation
- principal components
- kernel based nonlinear
- kernel methods
- statistical methods
- learning systems
- model selection
- text mining
- nearest neighbor
- information extraction
- state space
- high dimensional
- expert systems
- reinforcement learning
- artificial intelligence