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.

Quantum computing proves its edge with faster, approximate problem-solving—outperforming classical methods where perfection ...

algorithm, which aims to address complex combinatorial optimization problems using quantum computing. This algorithm leverages the parallel computing power of quantum systems and combines ...

History is not just the evolution of technology; it is the evolution of thought.” That is the extent of Google DeepMind’s ...

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 ...

"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 ...

"Optimization algorithms generate holograms by solving the inverse problem in CGH, but simply optimization does not necessarily guarantee the generation of an appropriate hologram. Careful ...

No algorithm for optimizing general nonlinear functions exists that always finds the global optimum for a general nonlinear minimization problem in a reasonable amount of time. Since no single ...