“When solving a very large computational problem, optimization solvers can require significant computational time to find a first feasible solution,” said Dr. Timo Berthold, director of Mixed ...

Luna v1.0: Quantum optimization for everyone With Luna, users can model, benchmark and solve optimization problems intuitively using Python, while Luna provides hardware-agnostic access to various ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...

In addition to the new use case of simulating magnetic systems, D-Wave computers are also used to solve hard business optimization problems in workforce scheduling, production scheduling ...

A Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.

A new proof reveals the answer to the decades-old “moving sofa” problem. It highlights how even the simplest optimization problems can have counterintuitive answers.