Quantum Computer: Gamers’ Dream for 100 Million Times Faster Computer Comes to Life!

There have been rumors about the commercialization of quantum computers but there is still a lot of skepticism about the topic.

Quantum computing is a theoretical computations system that would work using quantum mechanics. In theory, this will enable the computing system to analyse data 100 million times faster than our normal-day computers. A normal computer would make use of the binary system to quantify the data it gets but quantum computers would use, qubits or quantum bits.

Quantum computers became more realistic when Google purchased it in 2013. Google named the quantum computer, D-Wave. D-Wave has been reported to be capable of processing 512 qubits. With the increase in processing, the leap did not require a significant increase in power.

Google partnered with NASA and the Universities Space Research Association, or USRA, to operate the quantum computer. It is being studied at the NASA Ames Research Center in California.

D-Wave Systems, the Canadian developer of the quantum computer, claimed they are providing regular updates to the system and It could take them seven years to complete. D-Wave Systems' Director of Business Development and Strategic Partnerships Colin Williams said this is "the biggest deal in the company's history."

At present, the D-Wave quantum computer is not yet at par with what the scientists hoped it would be but the improvement is already a big leap. According to Wired, Google and its partners have not figured things out yet but they are sure that the quantum computer can definitely outperform other high-powered computers[1] we have nowadays.

The Gamer's Dream

Image credited to Patrick Lux/Getty Images

Though the topic about quantum computing might be tedious, Gameranx posted a video that will explain the relevance of this discover in layman's terms.

The video provided a breakdown of the power of the quantum computer. Surprisingly, the quantum computer will not only be useful for NASA and science-related activities but also be beneficial for gamers if this type of system becomes available to the public.

Gameranx noted that the quantum physics will make the CPU perform 100 million times faster than the normal computer. This is the minimum exponential difference but it could be more.

"Quantum computing is much more non linear and because of that it could arrive at a conclusion much faster because it bypasses a lot of the work."

Because it works on a faster processing system, it can arrive at a conclusion much faster, thus enabling any gamer to experience the smoothest gameplay ever.

Though this could be the best-case scenario for gamers, Gameranx noted that incorporating quantum computing to gaming can still be a challenging task. Since qubits are unpredictable, unlike the binary options in our normal computers, programming a game on a quantum computer should be based on fundamentally different units.

Artificial Intelligence in Gaming

Image credited to Justin Sullivan/Getty Images

This is where artificial intelligence comes in.

Artificial intelligence has been one of the most sought-after feature in any game. As much as possible, the gaming scenario should be adaptable to the decisions of the gamer. With binary computers, there is a limited option to what the gamer can accomplish. If the answer is "No," then the gamer would be directed to "Option B," and so on.

However, with the simultaneous processing of quantum computers, it can process multiple results and analyse different gaming decisions. This can be the closest the gamers will get to a highly effective artificial intelligence.

"Quantum computing is going to enhance the logic of games."

Though the mix of quantum computing to gaming could be the innovation of the millennium, Gameranx noted that scientists do not see the possibility of quantum computers being converted into commercial models, but they can be converted into high-powered chips.

For more information on quantum computers in gaming, watch the video below.

[Image credited to Scott Olson/Getty Images]

References

  1. ^ other high-powered computers (www.wired.com)


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