Quantum adversarial machine learning is an emerging field that studies the vulnerability of quantum learning systems against adversarial perturbations and develops possible defense strategies. Quantum universal adversarial perturbations are small perturbations. which can make different input samples into adversarial examples that may deceive a given quantum classifier. This is a field... https://chefesquipmenters.shop/product-category/whipped-cream-dispensers/