Exploration of Timing and Higher-Energy Attacks on Quantum Random Access Memory

This work presents the first evaluation of timing and higher-energy attacks on Quantum Random Access Memory (QRAM) circuits. By leveraging quantum principles, QRAM can efficiently store and manipulate both quantum and classical data, leading to potential significant speedups in a variety of quantum algorithms. However, as demonstrated in this work, when used in remote cloud-based quantum computers QRAM is vulnerable to different security attacks. The work demonstrates side-channel attacks, e.g., the timing attacks, as well as fault-injection-like attacks, e.g., the higher-energy attacks. This work evaluates the attacks on QRAM and different circuits that use QRAM. The work also proposes a set of defenses.

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Publication Details

Published
2024-10-27
DOI
https://doi.org/10.1145/3676536.3689916
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.35

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Exploration of Timing and Higher-Energy Attacks on Quantum Random Access Memory

Jakub Szefer, Chuanqi Xu, Y.H. Tan
1 citations
Quantum Computing Algorithms and Architecture
0.35
article

Exploration of Timing and Higher-Energy Attacks on Quantum Random Access Memory

Jakub Szefer, Chuanqi Xu, Y.H. Tan
article en
1 citations

Abstract

This work presents the first evaluation of timing and higher-energy attacks on Quantum Random Access Memory (QRAM) circuits. By leveraging quantum principles, QRAM can efficiently store and manipulate both quantum and classical data, leading to potential significant speedups in a variety of quantum algorithms. However, as demonstrated in this work, when used in remote cloud-based quantum computers QRAM is vulnerable to different security attacks. The work demonstrates side-channel attacks, e.g., the timing attacks, as well as fault-injection-like attacks, e.g., the higher-energy attacks. This work evaluates the attacks on QRAM and different circuits that use QRAM. The work also proposes a set of defenses.

Yale University (US)
National Science Foundation
Affordable and clean energy
Openalex Percentile: Top 29%
Quantum Computing Algorithms and Architecture
0.35
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