Quantum optimization is one of the most promising quantum computing applications with the potential to deliver major enhancements to critical problems in transport, logistics, machine learning, and ...

Despite its inefficiencies, manual optimization is still the process of choice for so many marketers. Why is that?

Every year, modern businesses are finding it increasingly difficult to stay competitive and stand out in the market.

An optimization problem is one where you have to make the best decision (choose the best investments, minimize your company’s costs, find the class schedule with the fewest morning classes, or ...

In contrast, optimization problems often demand operations between all pairs of qubits. “For many instances, the connectivity of the device will not match the connectivity of the problem, which makes ...

This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...

Optimization problems underlie many of society’s most important structures – among them: banks and finance, healthcare, logistics and manufacturing. The promise of this new computer has led to a ...

Researchers have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions ...