Efficiency of quantum versus classical annealing in non-convex learning problems.
Carlo BaldassiRiccardo ZecchinaPublished in: CoRR (2017)
Keyphrases
- learning problems
- learning tasks
- supervised learning
- learning algorithm
- convex optimization problems
- kernel methods
- machine learning
- machine learning algorithms
- quantum computation
- statistical learning theory
- semi supervised learning
- computational learning theory
- sample complexity
- generalization bounds
- multi task
- pac learning
- convex optimization
- reinforcement learning
- image processing
- kernel based learning
- simulated annealing
- evolutionary algorithm
- learning experience
- real world
- active learning