Panos P. Markopoulos

Quantum Annealing for Robust Principal Component Analysis

2026 · IEEE Transactions on Quantum Engineering

Principal component analysis is commonly used for dimensionality reduction, feature extraction, denoising, and visualization. The most commonly used principal component analysis method is based upon optimization of the <inline-formula><tex-math notation="LaTeX">$L_{2}$</tex-math></inline-formula>-norm; however, the <inline-formula><tex-math notation="LaTeX">$L_{2}$</tex-math></inline-formula>-norm is …