Bounding entanglement dimensionality from the covariance matrix.
Shuheng LiuMatteo FadelQiongyi HeMarcus HuberGiuseppe VitaglianoPublished in: Quantum (2024)
Keyphrases
- covariance matrix
- covariance matrices
- principal component analysis
- upper bound
- dimensionality reduction
- high dimensional
- sample size
- gaussian mixture
- feature space
- mahalanobis distance
- positive definite
- geometrical interpretation
- class conditional densities
- eigenvalues and eigenvectors
- multivariate gaussian
- estimation error
- principal components
- eigendecomposition
- correlation matrix
- transformation matrix
- pseudo inverse
- model selection
- objective function
- symmetric matrix
- machine learning