Hybrid reconstruction of quantum density matrix: when low-rank meets sparsity.
Kezhi LiKai ZhengJingbei YangShuang CongXiaomei LiuZhaokai LiPublished in: Quantum Inf. Process. (2017)
Keyphrases
- low rank
- sparsity constraints
- matrix factorization
- linear combination
- low rank matrix
- singular value decomposition
- missing data
- convex optimization
- matrix decomposition
- rank minimization
- singular values
- matrix completion
- trace norm
- non rigid structure from motion
- frobenius norm
- semi supervised
- high order
- high dimensional data
- kernel matrix
- nuclear norm
- kernel matrices
- factorization methods
- sparse representation
- data matrix
- reconstruction error
- binary matrices
- low rank approximation
- low rank matrices
- image reconstruction
- regularized regression
- low rank and sparse
- robust principal component analysis
- data sets
- affinity matrix
- minimization problems
- compressed sensing
- high dimensional
- pattern recognition
- binary matrix
- multi task
- pairwise