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Robust quantum classifiers via NISQ adversarial learning

Nature Computational Science volume 2, pages 699–700 (2022)Cite this article

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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.

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Fig. 1: Adversarial attack on a quantum classifier.

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Authors and Affiliations

  1. Department of Physics and Astronomy, University of Florence, Florence, Italy

    Leonardo Banchi

  2. INFN Sezione di Firenze, Florence, Italy

    Leonardo Banchi

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  1. Leonardo Banchi
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Correspondence to Leonardo Banchi.

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Banchi, L. Robust quantum classifiers via NISQ adversarial learning. Nat Comput Sci 2, 699–700 (2022). https://doi.org/10.1038/s43588-022-00359-1

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