Hyperparameter Importance of Quantum Neural Networks Across Small Datasets.
Charles MoussaJan N. van RijnThomas BäckVedran DunjkoPublished in: CoRR (2022)
Keyphrases
- neural network
- pattern recognition
- small number
- data sets
- gaussian processes
- quantum computation
- quantum computing
- uci machine learning repository
- training process
- model selection
- genetic algorithm
- neural nets
- hyperparameters
- fault diagnosis
- back propagation
- training dataset
- synthetic and real datasets
- sufficient conditions
- quantum inspired