Hybrid quantum classical graph neural networks for particle track reconstruction.
Cenk TüysüzCarla RiegerKristiane NovotnyBilge DemirközDaniel DobosKarolos PotamianosSofia VallecorsaJean-Roch VlimantRichard ForsterPublished in: Quantum Mach. Intell. (2021)
Keyphrases
- neural network
- quantum computation
- random walk
- graph representation
- artificial neural networks
- quantum mechanics
- image reconstruction
- pattern recognition
- feed forward
- graph theory
- fuzzy logic
- weighted graph
- hybrid intelligent systems
- graph model
- multi layer
- reconstruction method
- reconstruction process
- graph based algorithm
- hybrid models
- quantum probability
- neural nets
- self organizing maps
- structured data
- fuzzy systems
- spanning tree
- undirected graph
- bipartite graph
- graph theoretic
- compressive sensing
- multilayer perceptron
- medical images
- high resolution
- hybrid intelligent
- point distribution
- three dimensional
- genetic algorithm