This research presents a graph neural network for predicting qubit routing costs in fault-tolerant quantum architectures.

In 1996, Dor, Halperin, and Zwick introduced an influential method that delivered a “2-approximation” in nearly optimal time.

In 2004, two mathematicians hypothesized a powerful kind of sandwich. They were studying graphs, which are collections of points (called vertices) and lines (called edges). Graphs might represent ...

Software engineering interviews, especially at top tech companies, heavily emphasize algorithms, data structures, and problem ...

Ningbo, have developed a graph-based approach that directly extracts concise, accurate constitutive equations from ...

China unveiled two geological mapping and mineral exploration systems powered by artificial intelligence technologies on ...

Constitutive models are fundamental to solid mechanics and materials science, underpinning the quantitative description of ...

Paris-based Arlequin AI SAS today announced it raised €28 million, around $32 million, in new funding to accelerate development of a new AI model architecture based on a different type of network that ...

Researchers at the Chinese Academy of Sciences have demonstrated a quantum algorithm offering advantages over classical methods in topological data analysis. The work, published on August 28, 2026, in ...

At Google Cloud Next, we announced the preview of graph algorithms with Spanner Graph, bringing Google Research’s state-of-the-art graph mining capabilities natively to your database. These graph ...

The tech giant says a breakthrough in data center networking has dramatically accelerated the flow of information through its massive cloud infrastructure. The new technology hinges on a “quasi-random ...