The vulnerability of quantum machine learning is demonstrated on a superconducting quantum computer, together with a defense strategy based on noisy intermediate-scale quantum (NISQ) adversarial learning.
Robust quantum classifiers via NISQ adversarial learning / Banchi L.. - In: NATURE COMPUTATIONAL SCIENCE. - ISSN 2662-8457. - ELETTRONICO. - 2:(2022), pp. 699-700. [10.1038/s43588-022-00359-1]
Robust quantum classifiers via NISQ adversarial learning
Banchi L.
2022
Abstract
The vulnerability of quantum machine learning is demonstrated on a superconducting quantum computer, together with a defense strategy based on noisy intermediate-scale quantum (NISQ) adversarial learning.File in questo prodotto:
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