Professor Lu Chaoyang of the University of Science and Technology of China stated at the 2026 Inclusion·Waitan Conference that while quantum computing is a significant field, it is currently limited in its practical applications. He clarified that quantum computers are not universal accelerators but are effective only for specific problems with unique mathematical structures, such as breaking current encryption methods like RSA and Shor's algorithm. Lu emphasized that quantum computing does not inherently speed up large model training or financial modeling, and the true value lies in its potential to revolutionize information security once fault-tolerant quantum computers are developed. AI
IMPACT Quantum computing's current limitations mean it will not accelerate AI training in the near term, shifting focus to information security applications.
RANK_REASON Expert commentary on the current state and limitations of quantum computing.
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