Graph Neural Network Assisted Quantum Compilation for Qubit Allocation.
Travis LeCompteFang QiXu YuanNian-Feng TzengM. Hassan NajafiLu PengPublished in: ACM Great Lakes Symposium on VLSI (2023)
Keyphrases
- neural network
- resource allocation
- back propagation
- graph structure
- genetic algorithm
- artificial neural networks
- fuzzy logic
- graph matching
- random walk
- graph theory
- bipartite graph
- graph model
- directed acyclic graph
- directed graph
- connected components
- pattern recognition
- quantum computation
- feed forward
- allocation strategy
- network architecture
- structured data
- training process
- multi layer
- weighted graph
- self organizing maps
- graph partitioning
- activation function
- feed forward neural networks
- optimal allocation
- quantum mechanics
- neural nets
- neural network is trained
- recurrent neural networks