Learning to learn with quantum neural networks via classical neural networks.
Guillaume VerdonMichael BroughtonJarrod R. McCleanKevin J. SungRyan BabbushZhang JiangHartmut NevenMasoud MohseniPublished in: CoRR (2019)
Keyphrases
- neural network
- learning rules
- connectionist systems
- learning algorithm
- pattern recognition
- neural nets
- cascade correlation
- artificial neural networks
- learning process
- feedforward neural networks
- back propagation
- feed forward
- neural learning
- radial basis function network
- learning scheme
- learning tasks
- learning systems
- unsupervised learning
- online learning
- supervised learning
- interactive learning
- machine learning
- decision trees
- error back propagation
- children learn
- prior knowledge
- recurrent networks
- spiking neural networks
- quantum mechanics
- function approximators
- support vector machine
- self organizing maps
- fuzzy logic
- learning capabilities
- fuzzy neural network
- multi layer
- neural network model