A variational quantum classifier with normalized amplitude embeddings and bounded observables achieves competitive accuracy with improved robustness and stability over classical baselines in safety-critical settings.
Physical Review Letters , volume =
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SAFE Quantum Machine Learning with Variational Quantum Classifiers
A variational quantum classifier with normalized amplitude embeddings and bounded observables achieves competitive accuracy with improved robustness and stability over classical baselines in safety-critical settings.