IEEE International Symposium on Hardware Oriented Security and Trust<\/a> on 6-9 May in Washington, DC.<\/p>\nBenefits of quantum computers<\/h3>\n Quantum computers can solve several complex problems exponentially faster than classical computers. The emerging technology uses quantum mechanics and is expected to improve AI applications and solve complex computational problems.<\/p>\n
Qubits represent the fundamental unit of information in quantum computers, like bits in traditional computers.<\/p>\n
In classical computers, bits represent 1 or 0. However, qubits take advantage of the principle of superposition and can, therefore, be in a state of 0 and 1. By representing two states, quantum computers have greater speed compared to traditional computers.<\/p>\n
For example, quantum computers have the potential to break highly secure encryption systems due to their computer power.<\/p>\n
Challenges of quantum computers<\/h3>\n Despite their advantages, quantum computers are vulnerable to adversarial attacks.<\/p>\n
Due to factors such as temperature fluctuations, magnetic fields, and imperfections in hardware components, quantum computers are susceptible to noise or interference.<\/p>\n
Quantum computers are also prone to unintended interactions between qubits.<\/p>\n
These challenges can cause computing errors.<\/p>\n
Leveraging quantum noise<\/h3>\n The researchers leveraged intrinsic quantum noise and crosstalk to counteract adversarial attacks.<\/p>\n
The method introduced crosstalk into the quantum neural network. This is a form of Machine Learning where datasets train computers to perform tasks. This includes detecting objects like stop signs or other computer vision responsibilities.<\/p>\n
\u201cThe noisy behaviour of quantum computers actually reduces the impact of attacks,\u201d said Basu, who is senior author of the study. \u201cWe believe this is a first-of-its-kind approach that can supplement other defences against adversarial attacks.\u201d<\/p>\n
AI application 268% more accurate with QNAD<\/h3>\n The researchers revealed that during an adversarial attack, the AI application was 268% more accurate with QNAD than without it.<\/p>\n
The approach is designed to supplement other techniques to protect quantum computer security.<\/p>\n
\u201cIn case of a crash, if we do not wear the seat belt, the impact of the accident is much greater,\u201d Shamik Kundu, a computer engineering doctoral student and a first co-author, said.<\/p>\n
\u201cOn the other hand, if we wear the seat belt, even if there is an accident, the impact of the crash is lessened. The QNAD framework operates akin to a seat belt, diminishing the impact of adversarial attacks, which symbolise the accident, for a QNN model.\u201d<\/p>\n
The research was funded by the National Science Foundation.<\/p>\n","protected":false},"excerpt":{"rendered":"
A team of researchers from the University of Texas at Dallas has developed an approach with an industry collaborator to give quantum computers a layer of protection against adversarial attacks.<\/p>\n","protected":false},"author":18,"featured_media":45138,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[24615],"tags":[793],"acf":[],"yoast_head":"\n
Protecting quantum computers from adversarial attacks<\/title>\n \n \n \n \n \n \n \n \n \n \n \n \n \n\t \n\t \n\t \n \n \n \n \n \n\t \n\t \n\t \n