Learning adiabatic quantum algorithms over optimization problems.
Davide PastorelloEnrico BlanzieriValter CavecchiaPublished in: Quantum Mach. Intell. (2021)
Keyphrases
- optimization problems
- learning algorithm
- learning process
- learning models
- learning problems
- noise tolerant
- supervised learning
- machine learning
- optimization methods
- evolutionary algorithm
- background knowledge
- data sets
- learning systems
- online learning
- learning tasks
- worst case
- neural network
- computationally efficient
- machine learning algorithms
- benchmark datasets
- unsupervised learning
- collaborative learning
- combinatorial optimization
- significant improvement
- reinforcement learning
- training data