Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction.
Cenk TüysüzCarla RiegerKristiane NovotnyBilge DemirközDaniel DobosKarolos PotamianosSofia VallecorsaJean-Roch VlimantRichard ForsterPublished in: CoRR (2021)
Keyphrases
- neural network
- quantum computation
- pattern recognition
- hybrid intelligent
- quantum mechanics
- three dimensional
- graph structure
- image reconstruction
- bipartite graph
- structured data
- graph model
- hybrid models
- graph theoretic
- connected components
- weighted graph
- graph representation
- directed graph
- knn
- recurrent neural networks
- graph mining
- activation function
- quantum probability
- directed acyclic graph
- multi layer
- graph matching
- radial basis function
- self organizing maps
- fault diagnosis
- random walk
- fuzzy logic
- high resolution
- genetic algorithm