Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise.
Jhih-Cing HuangYu-Lin TsaiChao-Han Huck YangCheng-Fang SuChia-Mu YuPin-Yu ChenSy-Yen KuoPublished in: CoRR (2022)
Keyphrases
- quantum computation
- training examples
- quantum computing
- training data
- quantum inspired
- missing data
- probability ranking principle
- quantum mechanics
- greater robustness
- information retrieval
- linear classifiers
- noise level
- channel capacity
- naive bayes
- decision trees
- classification systems
- noisy data
- supervised classification
- median filter
- svm classifier
- training samples
- training set
- support vector
- multi agent
- feature selection