At the 2025 AI+ Conference held today, Turing Award winner and academician of the Chinese Academy of Sciences Yao Qizhi, who also serves as the dean of Tsinghua University's Institute for Interdisciplinary Information Sciences and School of Artificial Intelligence, highlighted the rapid rise of AI for Science in research fields. He emphasized that integrating AI with traditional scientific methods is a critical challenge for researchers.

Taking AI + quantum computing as an example, Yao noted that AI can assist quantum physicists in constructing quantum error-correcting decoders, thereby advancing quantum computing research. He cited Google's quantum chip Willow, which achieved exponential error reduction in quantum error correction, as a breakthrough enabled by neural network-designed decoders. This innovation significantly enhances the scalability of quantum computing.

Yao believes AI will continue to play a pivotal role in improving the accuracy and speed of quantum computing.