Yao Qizhi: AI for Science is rapidly rising, and scientists should grasp the development trend.

At the 2025 Artificial Intelligence+ Conference held today, Turing Award winner, Academician of the Chinese Academy of Sciences, and Dean of the Institute for Interdisciplinary Information Sciences and the School of Artificial Intelligence at Tsinghua University, Yao Qizhi pointed out, "In the field of scientific research, AI for Science is rapidly emerging. How front-line scientists grasp the development trend, integrate AI with traditional technology is a major issue." Taking AI+quantum computing as an example, Yao Qizhi pointed out that AI can help quantum physicists construct quantum error correction decoders, thereby providing assistance for research in quantum computing science. He cited Google's quantum chip Willow achieving exponential quantum error correction error reduction as an example, indicating that this technology greatly improves the large-scale usability of quantum computing. Behind this, the chip is based on a neural network design that implements a decoder dedicated to quantum error correction, solving this problem. In his opinion, in the future, AI will have many benefits in solving the accuracy and speed of quantum computing calculations.