It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new ...

The research team (NEAL) from the University of South China has made significant progress in nuclear reactor ...

A quantum computer can solve optimization problems faster than classical supercomputers, a process known as "quantum ...

It is known that technologies for gathering massive information, making large-scale graph data as mathematical models and applying optimization algorithms to them are very important in such situations ...

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many algorithms always ...

To address optimization issues on such networks, it is necessary to understand the network’s logical structure and develop high-speed and high-precision algorithms. Further, these algorithms must be ...

The research team (NEAL) at the University of South China has proposed an innovative radiation-shielding optimization method ...

To address this, the team coupled D-MPNNs with genetic algorithms, enabling flexible and library-free molecular optimization ... quantification with graph neural networks for efficient molecular ...

This algorithm integrates the search capabilities of classical computing with the parallel computing characteristics of quantum computing, effectively addressing constrained optimization problems ...

It’s often assumed that Dijkstra’s algorithm, or the A* graph traversal algorithm is used, but the reality is that although these pure graph theory algorithms are decidedly influential ...