(Peer-Reviewed) Universal Adversarial Examples and Perturbations for Quantum Classifiers
Weiyuan Gong ¹, Dong-Ling Deng 邓东灵 ¹ ²
¹ Center for Quantum Information, IIIS, Tsinghua University, Beijing 100084, People's Republic of China 清华大学 交叉信息研究院 量子信息中心
² Shanghai Qi Zhi Institute, 41th Floor, AI Tower, No. 701 Yunjin Road, Xuhui District, Shanghai 200232, China 上海期智研究院
National Science Review, 2021-07-22

Quantum machine learning explores the interplay between machine learning and quantum physics, which may lead to unprecedented perspectives for both fields. In fact, recent works have shown strong evidences that quantum computers could outperform classical computers in solving certain notable machine learning tasks. Yet, quantum learning systems may also suffer from the vulnerability problem: adding a tiny carefully-crafted perturbation to the legitimate input data would cause the systems to make incorrect predictions at a notably high confidence level.

In this paper, we study the universality of adversarial examples and perturbations for quantum classifiers. Through concrete examples involving classifications of real-life images and quantum phases of matter, we show that there exist universal adversarial examples that can fool a set of different quantum classifiers. We prove that for a set of k classifiers with each receiving input data of n qubits, an O(ln k/2ⁿ) increase of the perturbation strength is enough to ensure a moderate universal adversarial risk.

In addition, for a given quantum classifier we show that there exist universal adversarial perturbations, which can be added to different legitimate samples and make them to be adversarial examples for the classifier.

Our results reveal the universality perspective of adversarial attacks for quantum machine learning systems, which would be crucial for practical applications of both near-term and future quantum technologies in solving machine learning problems.
Universal Adversarial Examples and Perturbations for Quantum Classifiers_1
Universal Adversarial Examples and Perturbations for Quantum Classifiers_2
Universal Adversarial Examples and Perturbations for Quantum Classifiers_3
Universal Adversarial Examples and Perturbations for Quantum Classifiers_4
  • Giant and light modifiable third-order optical nonlinearity in a free-standing h-BN film
  • Jun Ren, Han Lin, Xiaorui Zheng, Weiwei Lei, Dan Liu, Tianling Ren, Pu Wang4, Baohua Jia
  • Opto-Electronic Science
  • 2022-06-21
  • Research status and prospect of wind-vehicle-bridge coupling vibration system
  • Wanshui Han, Xiaodong Liu, Xuelian Guo, Shizhi Chen, Gan Yang, Huanju Liu
  • Journal of Traffic and Transportation Engineering
  • 2022-06-20
  • The reservoir learning power across quantum many-body localization transition
  • Wei Xia, Jie Zou, Xingze Qiu, Xiaopeng Li
  • Frontiers of Physics
  • 2022-06-15
  • A small microring array that performs large complex-valued matrix-vector multiplication
  • Junwei Cheng, Yuhe Zhao, Wenkai Zhang, Hailong Zhou, Dongmei Huang, Qing Zhu, Yuhao Guo, Bo Xu, Jianji Dong, Xinliang Zhang
  • Frontiers of Optoelectronics
  • 2022-06-15
  • Prognostic role of plasma levels of γ-glutamyl transpeptidase in patients with advanced gastric cancer treated with anti-PD-1 immunotherapy
  • Shaojie Xu, Yiming Feng, Xingyin Li, Zaozao Huang, Hewei Li, Ganxin Wang
  • Oncology and Translational Medicine
  • 2022-06-14
  • High-quality Development Paths of Ice-snow Tourism in China from the Perspective of the Winter Olympics
  • TANG Chengcai, ZENG Rui, YANG Yuanyuan, XU Shiyi, WANG Xin
  • Journal of Resources and Ecology
  • 2022-06-07
  • New approach for the digital reconstruction of complex mine faults and its application in mining
  • Hongwei Wang, Zeliang Wang, Yaodong Jiang, Jiaqi Song, Meina Jia
  • International Journal of Coal Science & Technology
  • 2022-06-06
  • p62/SQSTM1 Participates in the Innate Immune Response of Macrophages Against Candida albicans Infection
  • He Yan-Zhi, Duan Zhi-Min, Chen Xu, Li Min
  • International Journal of Dermatology and Venereology
  • 2022-06-01
  • Long term performance of recycled concrete beams with different water–cement ratio and recycled aggregate replacement rate
  • Jingwei YING, Feiming SU, Shuangren CHEN
  • Frontiers of Structural and Civil Engineering
  • 2022-05-31
  • Polarization-switchable plasmonic emitters based on laser-induced bubbles
  • Jianjun Chen, Fengyuan Gan
  • Opto-Electronic Advances
  • 2022-05-27
  • Broad-band spatial light modulation with dual epsilon-near-zero modes
  • Long Wen, Xianghong Nan, Jiaxiang Li, David R. S. Cumming, Xin Hu, Qin Chen
  • Opto-Electronic Advances
  • 2022-05-27
  • Configurable topological beam splitting via antichiral gyromagnetic photonic crystal
  • Jianfeng Chen, Zhi-Yuan Li
  • Opto-Electronic Science
  • 2022-05-20

  • Non-spreading bessel spatiotemporal optical vortices                                A new finding on the prevalence of rapid water warming during lake ice melting on the Tibetan Plateau
    Copyright © PubCard