Quantum Computers aren’t Ideal for Deep Learning

Quantum Computers aren’t Ideal for Deep Learning

Quantum computers aren’t ideal for deep learning said by a Google researcher
In the past years, Google has tried to get better more and more about its services with AI. Google also happens to have a quantum computer a system who is able to do certain computations quicker than classical computers.

Google is enthusiastic on advancing its capabilities in a type of AI known as deep learning, which includes training ANN (artificial neural networks) on a large provider of data and then getting them to make deductions about new data.

An event was held at Google headquarters last week; in which a Google researcher explained that the quantum computing t isn’t just the best fit for systems.

Several other technology companies including Facebook and Microsoft have tested with deep learning in the background of image recognition, natural processing, and speech recognition. Those other companies are huge, with abundance of money to spend on communications. But they don’t have quantum computer while Google does. Still, that doesn’t mean it’s always the top tool for the job.

Deep learning, although, is another thing. Normally speaking, it needs a model and a set of values for their limits, and you can’t make a guess until you have both of those things, a senior research scientist Greg Corrado at Google Research, told reporters.

“The numbers of limits a quantum computer can keep, and the number of operations it can hold, are very minute,”

That’s not to say that other companies aren’t planning about applying quantum computing to deep learning. Last month, two workers of protection contractor Lockheed Martin, which also bought a D-Wave quantum computer, published a paper documenting their hard work to use a D-Wave machine to assist train a deep neural network.

Microsoft Forecast Quantum Computers Within 10 Years

Microsoft Forecast Quantum Computers Within 10 YearsA new age of powerful computing will turn up within the next decade, Microsoft researchers anticipate, as quantum computing systems accomplished of reaping the full advantages of the rising technology are introduced. A new paper available this week by researchers at Microsoft’s quantum Station Q exposed that the technology massive is working on a machine that goes further than the capabilities of other quantum computers now in development.

It was first theorized by the very familiar physicist Richard Feynman in 1982, academic researchers and business labs attempt to build quantum computers. Among the firms original development are NASA and Google, who equally use systems built by the Canadian firm D-Wave.

Researchers at Microsoft’s quantum lab have beforehand questioned whether D-Wave’s machines really offer the computing advantages that Feynman first hypothesized, claiming that the processing power is not very different to conservative systems.

The newest research from Microsoft states that a working quantum computer is capable of outperforming customary computers by orders of size, could be an actuality within the next 10 years. In order to get this, the researchers state that a “hybrid quantum” algorithm wants to be used to fit in the power of a small quantum computer into a conservative framework.