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Short Paper: Device- and Locality-Specific Fingerprinting of Shared NISQ Quantum Computers. (arXiv:2202.12731v1 [cs.CR])
Feb. 28, 2022, 2:20 a.m. | Allen Mi, Shuwen Deng, Jakub Szefer
cs.CR updates on arXiv.org arxiv.org
Fingerprinting of quantum computer devices is a new threat that poses a
challenge to shared, cloud-based quantum computers. Fingerprinting can allow
adversaries to map quantum computer infrastructures, uniquely identify
cloud-based devices which otherwise have no public identifiers, and it can
assist other adversarial attacks. This work shows idle tomography-based
fingerprinting method based on crosstalk-induced errors in NISQ quantum
computers. The device- and locality-specific fingerprinting results show
prediction accuracy values of $99.1\%$ and $95.3\%$, respectively.
More from arxiv.org / cs.CR updates on arXiv.org
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