Filtered Spectral Projection for Quantum Principal Component Analysis
arXiv:2603.13441v3 Announce Type: replace
Abstract: Quantum principal component analysis (qPCA) is commonly formulated as the extraction of eigenvalues and eigenvectors of a covariance-encoded density operator. Yet in many qPCA settings the practical …