Design of Quantum Computer Antivirus
May 25, 2023·
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0 min read
Sanjay deshpande
Chuanqi Xu
Theodoros trochatos
Hanrui wang
Ferhat erata
Song han
Yongshan ding
Jakub szefer
Abstract
The development of quantum computers has been advancing rapidly in recent years. In addition to researchers and companies building bigger and bigger machines, these computers are already being actively connected to the internet and offered as cloud-based quantum computer services. As quantum computers become more widely accessible, potentially malicious users could try to execute their code on the machines to leak information from other users, to interfere with or manipulate results of other users, or to reverse engineer the underlying quantum computer architecture and its intellectual property, for example. To analyze such new security threats to cloud-based quantum computers, this work first proposes and explores different types of quantum computer viruses. This work shows that quantum viruses can impact outcomes of Grover’s search algorithm or machine learning classification algorithms running on quantum computers, for example. The work then proposes a first of its kind quantum computer antivirus as a new means of protecting the expensive and fragile quantum computer hardware from quantum computer viruses. The antivirus can analyze quantum computer programs, also called circuits, and detect possibly malicious ones before they execute on quantum computer hardware. As a compile-time technique, it does not introduce any new overhead at run-time of the quantum computer.
Type
Publication
IEEE International Symposium on Hardware Oriented Security and Trust (HOST)
Antivirus
Cloud Computing
Computer Viruses
Computers
Intellectual Property
Machine Learning
Machine Learning Algorithms
Quantum Computer Viruses
Quantum Computers
Quantum Computing
Viruses
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.
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