Randomized smoothing of quantum circuit parameters yields certified robustness against gate-angle noise, and evolutionary strategies can train the smoothed classifier to enlarge the certified region.
URL https:// github.com/qiskit-community/ qiskit-machine-learning/blob/stable/0.7/ docs/tutorials/11_quantum_convolutional_ neural_networks.ipynb
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Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise
Randomized smoothing of quantum circuit parameters yields certified robustness against gate-angle noise, and evolutionary strategies can train the smoothed classifier to enlarge the certified region.