Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels.
Xuchen YouShouvanik ChakrabartiBoyang ChenXiaodi WuPublished in: CoRR (2023)
Keyphrases
- neural network
- network architecture
- weight update
- pattern recognition
- connectionist models
- neural learning
- neural model
- genetic algorithm
- neural computation
- associative memory
- multilayer perceptron
- kernel methods
- radial basis function
- back propagation
- learning rules
- convergence speed
- fuzzy systems
- quantum computation
- quantum computing
- neural fuzzy
- artificial neural networks
- fuzzy logic
- training algorithm
- neural network model
- kernel function
- recurrent networks
- convergence rate
- feature space
- linear combination
- activation function
- multiple kernel learning
- recurrent neural networks
- logic circuits
- fault diagnosis
- quantum inspired
- support vector
- feature extraction
- self organizing maps