Google Claims to Have Proved That its Quantum Computer Actually Works

By Jamie Condliffe on at

A team of researchers from Google’s artificial intelligence labs have published results which suggest its controversial D-Wave quantum computer really works.

Google bought one of D-Wave’s quantum computers back in 2013. Claimed to be the “world’s first commercial quantum computer”, the device sits at NASA’s Ames Research Center in Mountain View, California, where it’s hard-coded to tackle optimisation problems that quantum computer are supposed to be good for. In theory, D-Wave’s hardware is supposed to be lightning fast – potentially 3,600 times faster than a supercomputer.

Quantum computers can, theoretically, be so much faster because they take advantage of a quirk in quantum mechanics. While classical computers use bits in 0 or 1, quantum computers use “qubits” that can exist in 0, 1 or a superposition of 2. In turn, that allows it to work through possible solutions more quickly.

But D-Wave’s chips have proved controversial among quantum physicists. Teams of researchers have been unable to prove conclusively whether or not the computer actually takes advantage of true quantum effects.

Now, the team from Google has published results on the arXiv server that it claims demonstrate that the computer does indeed use quantum effects to solve problems at speed. In a series of experiments, the team pitted its D-Wave quantum computer against a regular computer with a single processor and had them race through optimisation problems known as annealing.

The regular computer used a technique known as simulated annealing, while the quantum computer used what’s unsurpringly known as quantum annealing. Google explains what happened:

We found that for problem instances involving nearly 1000 binary variables, quantum annealing significantly outperforms its classical counterpart, simulated annealing. It is more than 108 times faster than simulated annealing running on a single core. We also compared the quantum hardware to another algorithm called Quantum Monte Carlo. This is a method designed to emulate the behavior of quantum systems, but it runs on conventional processors. While the scaling with size between these two methods is comparable, they are again separated by a large factor sometimes as high as 108.

That looks like a convincing victory, with the D-Wave quantum computer completing the task 100 million times faster than the regular computer.

It may not quite be time to pop the champagne corks yet, though. First, the research is yet to be peer-reviewed. Second, as Technology Review points out, even if the results are verified, they overlook the fact that the regular computer wasn’t using the most efficient algorithm it could. It was employing a technique that was algorithmically similar to the one running on the quantum computer, but an alternative approach could potentially have let it run through its calculations faster.

The potential for the regular computer to run faster wouldn’t necessarily extend as the problems grew in size. But for now, Google’s claims still seem like they could be disputed by quantum physicists. [arxiv, Google]

Image by D-Wave

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