News ID : 930
Publish Date : 09 November 2017 - 12:58
Volkswagen and Google will work together on researching ways that quantum computers can aid drivers and the auto industry. The goal is to use these highly capable computers for a variety of research applications, from optimizing traffic flow in cities to improving EV batteries.
Khodrocar - The research partners will develop algorithms, simulations, and optimizations using Google’s universal quantum computers. These computers can solve highly complex problems much more quickly than traditional supercomputers, and in some cases, a solution can only be reached using quantum computing technology.

Earlier this year, Volkswagen used quantum computers to help move 10,000 taxis around Beijing efficiently. Now, VW wants to improve upon its research by developing new algorithms that can help drivers avoid congestion and reduce the time we sit in traffic. Not only that, but the technology could also help direct vehicles to open parking spots and EV charging stations.

Quantum computers can also help explore new machine learning processes, which will prove critical for autonomous cars. These vehicles need to use data to make predictions and discover patterns that can help them detect problems on the road. With quantum computing technology, a system can better detect these patterns.

This next application may seem less obvious, but VW also wants to use quantum computer-based algorithms to simulate the chemical structure of high-performance EV batteries. An algorithm could help indicate appropriate chemical structures, and researchers could experiment with chemical compositions for battery cells or weight reduction. Quantum computers may also help optimize metal structures for vehicle construction or new materials.

As VW recovers from its diesel scandal, the automaker has made a big push toward EVs and autonomous vehicles. The Group wants to launch more than 30 battery electric vehicles by 2025, and is looking to ready I.D. Pilot mode by that same year.


Source: Volkswagen
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