A group of researchers at the Massachusetts Institute of Technology have devised a potentially more effective way of helping computers solve some of the toughest optimization problems they face.

But even if they're only part-way to useful gate-based operations, they'll still lead to improvements in solving optimization problems, either by getting more accurate solutions or by expanding ...

When classical and quantum algorithms compete, they often do so on the battlefield of optimization, a field focused on finding the best options for solving a thorny problem. Researchers typically ...

"We realized that we could use the Shor algorithm to solve a subclass of these optimization problems," says Ulitzsch. This means that the computing time no longer "explodes" with the number of ...

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 ...