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Intel Invests $50 Million in Quantum Computing

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intel quantum computing

San Francisco-based tech giant Intel will be throwing $50 million and other resources into quantum computing to accelerate the advancements in the field.

The company announced a 10-year collaborative relationship with TNO, the Dutch Organization for Applied Research and the Delft University, while investing $50 million as well as providing engineering resources, to make real the quantum computing that promises to solve complex problems that would be impossible to solve with today’s computing standards.

Intel’s collaboration with QuTech will be exploring quantum computing technology that could lead to breakthroughs in the industry.

Intel has been eyeing this possibility for quite a long time, but only yesterday the company has announced they are ready to make advancements in the field. Managing director at Intel, Mike Mayberry, declared that a functioning, massive-scale quantum computer is at least 10 years away. But they tech giant is optimistic about the situation and they are sure that their theoretical research will be soon be put to practice in order to reach their goal and bring quantum computers closer to reality.

Lead scientists of QuTech, Lieven Vandersypen, said that in order for advancements to be made in quantum computing, a combination of complex science with sophisticated engineering is needed.
QuTech announced their excitement to collaborate with the leading semiconductor tech company in the world, declaring that in order to build circuits with large numbers of complex quantum bits, the experience of the semiconductor industry will be essential.

Intel Labs claims that the computing power generated by a fully functioning quantum computer could make global financial analyses and speed up drug development.

The difference between quantum computers and digital computers lays in the fact that the quantum computers can use quantum bits that could simultaneously co-exist in multiple states. They would offer the potential to compute at a larger scale, leading to much faster calculation speed.

Photo credits: flickr

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