“I’m enthusiastic about it,” said Ronald de Wolf, a theoretical computer ... seeing how they fared against classical algorithms on various optimization problems. They needed both the right ...

The user needs to choose the optimizer, and the application characteristics should drive the optimization algorithm selection, not the mathematical appeal, academic fashion, or traditional company ...

Moreover, nonlinear optimization can be computationally expensive in terms of time and memory, so care must be taken when matching an algorithm to a problem. the function value (optimization criterion ...

The proposed quantum particle swarm optimization (QPSO) algorithm is based on ... Polytechnique and its École Nationale Supérieure de Technologies, Canada's Université du Québec à Trois ...

A quantum algorithm that outperforms all known classical ones on optimization tasks would represent a major step forward in harnessing the potential of quantum computers. “I’m enthusiastic about it,” ...