Covariance matrix preparation for quantum principal component analysis.
Max Hunter GordonMarco CerezoLukasz CincioPatrick J. ColesPublished in: CoRR (2022)
Keyphrases
- covariance matrix
- principal component analysis
- covariance matrices
- sample size
- principal components
- independent component analysis
- positive definite
- principal components analysis
- dimensionality reduction
- mahalanobis distance
- correlation matrix
- geometrical interpretation
- eigenvalues and eigenvectors
- linear discriminant analysis
- low dimensional
- feature space
- eigendecomposition
- feature extraction
- pseudo inverse
- estimation error
- dimension reduction
- multivariate gaussian
- computer vision
- cma es
- image processing