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Quantum-Stable Robust Principal Component Analysis: Theory and Evidence from NISQ Regimes
Robust Principal Component Analysis (RPCA) is a fundamental technique for extracting low-rank structures from data corrupted by sparse anomalies and noise. While classical RPCA and its stable variants have been widely studied, their computational cost grows prohibitively with data dimensionality. Mo
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