Scholars at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have unveiled an innovation that brings artificial intelligence (AI) closer to quantum computing—both physically and technologically.

Led by Prof. Shao Qiming, Assistant Professor at the Department of Electronic and Computer Engineering, the research team has developed a new computing scheme that works at extremely low temperatures. As a critical advancement in quantum computing, it can significantly reduce latency between artificial intelligence (AI) agents and quantum processors while boosting energy efficiency. The solution was made possible by utilizing a special technology known as magnetic topological insulator Hall-bar devices.

This latest invention addresses a major challenge concerning the operational environment and hardware requirements of quantum computers, amid growing interest in the amalgamation of quantum computing—widely seen as the future of high-speed and high-efficiency computing, with artificial intelligence—a fast-evolving technology.