A Comparison of Evolutionary Algorithms for Training Variational Quantum Classifiers.
Giovanni AcamporaAngela ChiattoAutilia VitielloPublished in: CEC (2023)
Keyphrases
- evolutionary algorithm
- training set
- test set
- training examples
- training samples
- evolutionary computation
- classifier systems
- optimization problems
- multi objective
- differential evolution algorithm
- discriminative classifiers
- classifier training
- boosted classifiers
- evolutionary artificial neural networks
- linear classifiers
- training data
- training set size
- multi objective optimization
- genetic algorithm
- simulated annealing
- svm classifier
- confusion matrices
- training process
- learning classifier systems
- support vector
- evolution strategy
- linear svm
- feature selection
- feature selection and classifier
- decision trees
- trained classifiers
- image segmentation
- supervised training
- training stage
- object detection
- multi layer perceptron
- genetic programming
- fitness function
- classification algorithm
- machine learning algorithms
- multi class
- class labels
- quantum computation
- sufficient training data
- training and testing data
- face detection
- classification performances
- control parameters
- artificial neural networks
- object detectors
- labeled training data