Google's quantum chip Willow has broad practical application prospects and is expected to promote scientific discovery

Hartmut Nevin, head of Google's quantum AI team, said that quantum algorithms have basic scaling laws, and many basic computing tasks that are critical to AI also have similar scaling advantages, so quantum computing will be essential for collecting training data that traditional machines cannot access, training and optimizing certain learning architectures, and modeling systems where quantum effects are important. This includes helping to discover new drugs, designing more efficient batteries for electric vehicles, and accelerating the progress of nuclear fusion and new energy alternatives.