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Michele Minervini

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Preprint Jul 2026

Quantum Spectral Anomaly Detection

A core task in quantum anomaly detection is to compute an anomaly score that quantifies how strongly a test quantum state deviates from a given quantum dataset assumed to be normal. Classically, principal component analysis (PCA) for centered data computes the anomaly score by evaluating the test sample relative to the...

Yewei Yuan, Michele Minervini, Mark M. Wilde et al. · 1 citation

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