Supercomputer [noun]

The researchers aren’t the only ones to suggest building a large quantum supercomputer out of a network of simpler devices.

Their state grows exponentially more complicated with each additional particle, choking simulations on even the mightiest supercomputers.

Only in the last few years, with the growth of supercomputers, have theorists had enough computing power to model massive stars with the complexity needed to achieve explosions.

In terms of this kind of nonlinear complexity, fire is a lot like weather—but the computational fluid dynamic models that are used to build forecasts for, say, the National Weather Service require supercomputers.

For programs that have to deal with very large or very small numbers, like those that model the climate or quantum physics on supercomputers, this extra precision can be very useful.

Google said last year it has built a computer that could perform a computation in 200 seconds that would take the fastest supercomputers about 10,000 years, reaching quantum supremacy.

After Google’s quantum supremacy claim, for example, IBM proposed a type of calculation that might allow a supercomputer to perform the task Google’s computer completed, at least theoretically.

Another member of the Big Tech club, Google, made waves last fall when it claimed to have achieved “quantum supremacy,” a term that describes when a quantum computer outpaces a classical supercomputer at a specialized task.

All those devices, chained together through the Internet, created one of the world’s most powerful virtual supercomputers.

Simulating the movement of fluids is a common supercomputer application useful for solving complex problems like weather forecasting and airplane wing design.