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Short Paper: Device- and Locality-Specific Fingerprinting of Shared NISQ Quantum Computers

2022/02/25 by Allen Mi, Mi, Allen, Shuwen Deng +3 · 3 citations
Computer Science · Engineering · #Advancements in Semiconductor Devices and Circuit Design #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Quantum Information and Cryptography

paper · pdf · doi:10.48550/arxiv.2202.12731

openalex publication_date 2022/02/25 · openalex created_date 2022/09/06 · openalex updated_date 2026/07/28

Abstract

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.

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