Exploration of Timing and Higher-Energy Attacks on Quantum Random Access Memory
Oct 27, 2024·
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0 min read
Yizhuo tan
Chuanqi Xu
Jakub szefer
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.
Type
Publication
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Authors
Authors
Chuanqi Xu
(he/him)
Research Scientist
I am a Research Scientist at Meta working on Meta’s Generative Ads Recommendation Model (GEM). My focus is on designing and implementing novel transfer learning paradigms to amplify the impact of foundation models within production environments. Additionally, I am working on optimizing the efficiency and performance of GEM’s ecosystem.
Previously, I earned my PhD at Yale University. My research there sat at the intersection of quantum computing and security, where I designed novel attacks and defenses for quantum computers. Before this, I completed my undergraduate studies at University of Science and Technology of China (USTC), where I studied and researched on theoretical and computational condensed matter physics.
Authors