Noise Adaptive Quantum Circuit Mapping Using Reinforcement Learning and Graph Neural Network.
Vedika SaravananSamah Mohamed SaeedPublished in: IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. (2024)
Keyphrases
- neural network
- reinforcement learning
- logic circuits
- learning capabilities
- switching median filter
- analog circuits
- logic synthesis
- random walk
- graph representation
- fuzzy logic
- reinforcement learning algorithms
- directed acyclic graph
- weighted graph
- noise level
- genetic algorithm
- neural fuzzy
- artificial neural networks
- neural network model
- missing data
- function approximation
- structured data
- learning algorithm
- dc dc converter
- quantum computing
- high speed
- adaptive neural
- frequency response
- noise suppression
- directed graph
- graph model
- noisy data
- graph theory
- signal to noise ratio
- bipartite graph
- fault diagnosis
- digital circuits
- model free
- gaussian noise
- learning process
- graph structure
- quantum inspired