Quantum computers are 100 million times faster as compared to regular PCs, says Google

According to Google, its Quantum computers are 100 million times faster as compared to regular PCs. A two years ago, the D-Wave 2X quantum computer was launched by NASA and Google, and since then it is being experimented at the Ames Research Center in California.

The primary goal of Quantum computers is creating a better way of solving complex problems in just a few seconds instead of years.

Now, results of the latest test have been announced by the team, which demonstrated that its Quantum computers are 100 million times faster.

As opposed to traditional computers which use 0s and 1s, Quantum computers make use of qubits for representing information. With parallel processing, the correct answer can be achieved much efficiently and much faster.

The Director of Engineering at Google, Hartmut Neven states that in instances, wherein 1000 binary variables are involved; quantum annealing is 108 times faster as compared to simulated annealing.

Google has published a paper on these findings; wherein it claims that the team performed a calculation with quantum technology, which proved to be quite fast as compared to conventional computers having a single core processor.

Researchers stated that their research is still in initial stages, and it might take decades for commercializing it. Neven also added that with such encouraging and intriguing results, converting quantum enhanced optimization to practical technology would need more efforts and time.

On Tuesday, the team of NASA and Google researchers made an announcement that they tested D-Wave machines with Quantum Monte Carlo algorithm, and yet again the same results were found.

Commercial applications wouldn’t happen overnight, but many things can be speeded up, such as image recognition, which is found in several Google services.

This tool may come handy to clean up dirty data as well. Not only Google, but quantum speed-ups can be used for bringing about an improvement in the scheduling and planning of air traffic management.