A quantum active learning algorithm for sampling against adversarial attacks.
P. A. M. CasaresM. A. Martin-DelgadoPublished in: CoRR (2019)
Keyphrases
- learning algorithm
- machine learning
- machine learning algorithms
- random sampling
- training data
- learning rate
- supervised learning
- quantum computation
- neural network
- malicious attacks
- monte carlo
- sample size
- active learning
- back propagation
- learning process
- sampling strategy
- multi agent
- reinforcement learning
- generalization ability
- generalization error
- learning scheme
- sampling algorithm
- security protocols
- quantum mechanics