VW Plans to Use Google Quantum Computer Tech for Battery Research, Machine Learning

Posted by at 10:14 am on November 8, 2017

 Volkswagen IT experts use quantum computing: (from left) Dr. Christian Seidel, Senior Data Scientist from Volkswagen Group IT’s Data Lab in Munich, Robert „Bo” Ewald, President D-Wave International,  Dr. Martin Hofmann, CIO of Volkswagen Group, Dr. Florian Neukart, Principal Data Scientist from Volkswagen Group IT’s Code Lab in San Francisco.

Volkswagen announced that it will use Google’s universal quantum computer to research new battery technologies for its upcoming electric vehicles, make its self-driving systems smarter, and improve traffic flow in cities.

Volkswagen was the first carmaker to adopt quantum computers. Earlier this year, it announced its first successful project to significantly improve travel times for 10,000 taxis in Beijing using a D-Wave quantum annealing computer.

But the news no has VW going with Google’s more general purpose quantum computer tech, as well

“Volkswagen’s collaboration with Google marks the beginning of quantum computing in the automotive industry, and is a paramount step to addressing modern mobility challenges unlikely to be solved with binary digital electronic computers,” said Abdallah Shanti, Executive Vice President and Group Chief Information & Digital Officer for Region Americas, Volkswagen of America, Inc.

“Through this partnership, Volkswagen intends to unlock the potential of this technology, and share our learnings to motivate the development of quantum computers and algorithms,” he added.

Volkswagen wants to focus on three main areas of research when using Google’s quantum computer: high-performance batteries for electric cars, artificial intelligence, and traffic optimization.

Battery Research

We know quantum computers are supposed to be good at helping researchers find new materials, so using a quantum computer to find or develop a better battery technology makes sense. Electric vehicles may be on their way to revolutionize the car industry, but for now the high prices for their batteries contribute to slow electric vehicle adoption. The faster batteries drop in price, the faster electric vehicles will be adopted.

Machine Learning

It’s no surprise that Volkswagen would want to research advanced AI, as that is also going to be necessary for building safe autonomous cars. Quantum computers should be able to make machine learning much more efficient.

Right now, if you want to train an AI agent that has a high accuracy in identifying street objects, for instance, you will need to throw millions and millions of images of such objects at it. However, with quantum computers, you should be able to use much smaller data sets to reach the same level of accuracy.

Optimized Traffic Flow

Volkswagen has already used D-Wave’s quantum annealing computer to develop advanced traffic optimization algorithms, but it seems the company believes Google’s universal quantum computer could take that project further. Volkswagen plans to develop algorithms for urban traffic guidance systems, as well as identifying available electric charging stations or vacant parking spaces.

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