Focusing on the development of the future car, in order to promote the development of fully-automobile vehicles, there have been news reports recently, and Google announced that it has reached a cross-border cooperation with the Volkswagen Group in quantum computing. Quantum computing is especially suitable for algorithms that optimize traffic flow. It can solve complex problems with many variables and theoretically overcome the computational limitations of traditional digital computers.
According to foreign media reports, Google has announced that it has reached a cross-border cooperation in quantum computing with the German Volkswagen Group. Specifically, Volkswagen will work with Google scientists in IT labs in San Francisco and Munich to develop new simulation and algorithm models based on Google's quantum computing platform, hoping to further optimize traffic flow and artificial intelligence in this way. (Machine learning process) and finding better materials and structures to improve the battery technology of electric vehicles.
Compared to traditional binary digital systems, quantum computing can perform correlation operations at a higher rate. In some projects, Volkswagen and Google plan to introduce more variables with quantum computing to further achieve the goal of optimizing existing traffic flow plans and shortening vehicle commute times.
The Volkswagen Group said in a statement: "When calculating the most time-saving driving route, we can take into account factors such as available electric vehicle charging piles, free parking spaces and urban traffic navigation systems."
Of course, the focus of this type of research is not just on the driving experience of a particular driver, but on urban transport planning as a whole. At the same time, the collaboration between Volkswagen and Google will also advance research on artificial intelligence and machine learning at a certain level, both of which are seen as key technologies for developing fully automated vehicles. Among them, artificial intelligence research has many uses, and can even help people develop smarter infrastructure, or car digital assistants like Alexa.
In this collaboration, Volkswagen and Google will work together to simulate, optimize and develop the high-performance battery structure that is needed for electric vehicles. As everyone knows, Volkswagen CEO Matthias Mueller has announced that Volkswagen will launch an electric version of all 300 models of the group by 2030, and plans to invest 20 billion euros (about 24 billion US dollars) to invest in research and development of electric vehicles. And zero emission technology.
However, there is news that this plan has not been smooth from the beginning. Almost all manufacturers of electric vehicle battery raw materials have indicated that they will not accept the public's offer for the supply of cobalt metal for electric vehicle battery raw materials. According to people familiar with the matter, a tender issued by the public seeks to guarantee a supply of cobalt metal for at least five years at a fixed price, but it is always difficult to find interested suppliers. These people said that the price proposed by the car manufacturer is much lower than the current market price, which makes the miners very dissatisfied, and this may also contribute to the cross-border cooperation between Volkswagen and Google.
It should be said that quantum computing is not a new topic for the public. The company has previously claimed to be the world's first automaker to work in this field. In March of this year, the company also said that it has completed the research topic of “optimizing the traffic flow of tens of thousands of taxis in Beijing†with quantum computing.
To put it simply, Volkswagen's data labs in San Francisco, USA, and Munich, Germany, teamed up with Canadian startup D-wave System to conduct research by analyzing about 10,000 taxi data and other data from Beijing. Volkswagen's artificial intelligence experts and scientists have created an algorithm to help Beijing taxis reduce empty car travel time.
In this regard, the public said that "quantum computing is especially suitable for algorithms that optimize traffic flow, can solve complex problems with many variables, and theoretically overcome the computational limitations of traditional digital computers."
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