Bilevel optimisation represents a class of hierarchical decision-making processes where two interrelated optimisation problems are solved sequentially. In such problems, the upper-level (or leader) ...

Published in Nature, the study details the first large-scale demonstration of a photonic Ising machine operating without the cryogenic constraints typical of quantum computing systems. The ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...