High-dimensional graphs convolution for quantum walks photonic applications.
Roman AbramovLeonid FedichkinDmitry V. TsarevAlexander AlodjantsPublished in: Quantum Inf. Process. (2024)
Keyphrases
- high dimensional
- multi dimensional
- dimensionality reduction
- low dimensional
- similarity search
- data points
- high dimensional data
- high dimensionality
- manifold learning
- image processing
- sparse data
- graph partitioning
- graph mining
- weighted graph
- parameter space
- gene expression data
- graph theory
- quantum computation
- microarray data
- input space
- graph structure
- nearest neighbor
- graph model
- pattern recognition
- graph theoretic
- neural network
- linear filtering
- quantum computing
- convolution kernel