Combinatorial optimisation is a fundamental field in applied mathematics and computer science that focuses on finding an optimal object from a finite set of objects. In this context, problems are ...

Scientists have demonstrated a breakthrough application of neutral-atom quantum processors to solve problems of practical use. A collaboration between Harvard University with scientists at QuEra ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

HSBC has begun collaborating with Terra Quantum to investigate using hybrid quantum applications to tackle optimisation challenges. One example of such an issue is collateral optimisation, which is ...

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 ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...

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 ...

Microsoft has teamed up with Barclays on a novel approach to tackling artificial intelligence (AI) and optimisation problems based on a scalable analogue optical computer (AOC) architecture, designed ...

BOZEMAN, Mont., Sept. 1, 2023 — Analytics software leader FICO announced the release of a true global mathematical optimization solver as part of FICO Xpress 9.2 Optimization. The global optimization ...

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...