论文标题
简报：共享NISQ量子计算机的设备和特定于特定的指纹识别
Short Paper: Device- and Locality-Specific Fingerprinting of Shared NISQ Quantum Computers
论文作者
论文摘要
量子计算机设备的指纹识别是一种新威胁，对共享的基于云的量子计算机构成了挑战。指纹识别可以使对手可以映射量子计算机基础架构，唯一识别基于云的设备，这些设备否则没有公共标识符，并且可以帮助其他对抗性攻击。这项工作显示基于闲置的指纹识别方法基于NISQ量子计算机中串扰诱导的错误。设备和特定于特定的指纹结果的预测准确性值分别为$ 99.1 \％$和$ 95.3 \％$。
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.
