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Learning Classical Readout Quantum PUFs based on single-qubit gates

arXiv
Authors: Niklas Pirnay, Anna Pappa, Jean-Pierre Seifert

Year

2021

Paper ID

40719

Status

Preprint

Abstract Read

~2 min

Abstract Words

156

Citations

N/A

Abstract

Physical Unclonable Functions (PUFs) have been proposed as a way to identify and authenticate electronic devices. Recently, several ideas have been presented that aim to achieve the same for quantum devices. Some of these constructions apply single-qubit gates in order to provide a secure fingerprint of the quantum device. In this work, we formalize the class of Classical Readout Quantum PUFs (CR-QPUFs) using the statistical query (SQ) model and explicitly show insufficient security for CR-QPUFs based on single qubit rotation gates, when the adversary has SQ access to the CR-QPUF. We demonstrate how a malicious party can learn the CR-QPUF characteristics and forge the signature of a quantum device through a modelling attack using a simple regression of low-degree polynomials. The proposed modelling attack was successfully implemented in a real-world scenario on real IBM Q quantum machines. We thoroughly discuss the prospects and problems of CR-QPUFs where quantum device imperfections are used as a secure fingerprint.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2021 reference point for readers tracking recent quantum research.
  • Physical Unclonable Functions (PUFs) have been proposed as a way to identify and authenticate electronic devices.

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