Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve problems that overwhelm today’s most powerful supercomputers. Instead of ...

Abstract: Performing training and inference for Graph Neural Networks (GNNs) under tight latency constraints has become increasingly difficult as real-world input graphs continue to grow. Compared to ...

Abstract: In the face of intelligent manufacturing, new quality productivity, and AI empowerment, the digital construction of teaching resources in the experimental teaching demonstration centers is a ...