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.
Quantum machine learning.Nature, 549 (7671):195–202, September 2017
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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.