Robust quantum classifiers via NISQ adversarial learning

被引：4

作者：

Banchi, Leonardo ^{[1
,2
]}

机构：

[1] Univ Florence, Dept Phys & Astronomy, Florence, Italy

[2] INFN Sez Firenze, Florence, Italy

来源：

NATURE COMPUTATIONAL SCIENCE | 2022年 / 2卷 / 11期

关键词：

D O I：

10.1038/s43588-022-00359-1

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：699 / 700

页数：2

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