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

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.

Algorithmic business thinking, though, can help teams tackle these issues and communicate to solve problems. ... mechanical steps provided by algorithms and computer science for answers.

Have a good mind for computational problem-solving? Want to earn $1 million? ... An algorithm that could solve the problem quickly, on the other hand, would be a major game-changer.

Once the algorithm is streamlined, computer scientists will likely start using it as a subroutine in algorithms solving different problems, Spielman said. “Now that we know we can do this really ...

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 ...

As AI becomes more prevalent in the workplace, there's one vital skill that can help determine a worker's success in learning, deploying and working with AI tools: computational thinking.

As a leader, this means equipping yourself for more creative problem-solving, and it starts with the right leadership tools, including personalized mind maps, situationally specific flowcharts ...