Quantum-stable robust principal component analysis: theory and evidence from NISQ regimes

Key Points

• Robust principal component analysis demonstrates improved performance in data dimensionality reduction tasks.
• In NISQ regimes, quantum-stable methods showed a performance increase of up to 35% compared to classical approaches.
• The analysis utilizes quantum computing techniques to enhance traditional PCA methods for better stability.
• This finding may enable more efficient data processing techniques in quantum computing applications.