2023
Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise
ICASSP 2023accepted
Recently, quantum classifiers have been known to be vulnerable to adversarial attacks, where quantum classifiers are fooled by imperceptible noises to have misclassification. In this paper, we propose one first theoretical study that utilizing the added quantum random rotation noise can improve the…