On November 8th, according to Roadshow, Volkswagen and Google, the German carmaker, are working together to develop quantum computing technology, with the goal of creating smarter cars and better infrastructure. The two companies plan to focus on three areas: traffic optimization, machine learning processes, and new materials and structure development aimed at improving electric vehicle batteries.
Researchers at the IT lab in Munich and San Francisco are working with Google scientists to develop new simulations and algorithms on Google's general quantum computing platform. The execution speed of this computer is much higher than that of the traditional binary digital system. In such a project, Volkswagen and Google plans to increase the use of quantum computing research on the existing traffic optimization, including the introduction of a new variable, all these variables in order to shorten the vehicle travel time.
In a statement, the Volkswagen pointed out some factors, such as electric car chargers, empty parking spaces and urban traffic navigation systems, etc. these factors can reduce commuting time while calculating the route. Such studies will focus not only on individual drivers, but also on urban transportation planning.
Volkswagen and Google will also use quantum computing capabilities to speed up research on artificial intelligence and machine learning, and these two studies are seen as the key to developing networked and fully automated driving vehicles. Artificial intelligence research has many uses, can also be used to develop more intelligent infrastructure, and even a digital assistant like Alexa, such as new car functions.
Another field of cooperation between Volkswagen and Google will be to simulate and optimize the structure required for developing high-performance batteries for electric vehicles. The public is already familiar with quantum computing, and in fact, it claims to be the world's first automaker to enter this field. In March, the public announced that it had completed a research project using quantum computing to study the best traffic flow of 10 thousand Beijing taxis.