Adversarial Robustness in Quantum Machine Learning: A Scoping Review
Quantum machine learning (QML) is emerging as a promising paradigm at the intersection of quantum computing and artificial intelligence, yet its security under adversarial conditions remains insufficiently understood. This scoping review aims to systematically map empirical research on adversarial r...
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| Format: | Artigo |
| Sprache: | Inglês |
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MDPI AG
2026-04-01
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| Schriftenreihe: | Computers |
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| Online-Zugang: | https://www.mdpi.com/2073-431X/15/4/233 |
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