(ResearchSnipers) Nissan and the Quantum Machine Learning Project of the Russian Quantum Center (RQC) have announced the launch of a joint scientific and technological project in the field of quantum computing for chemical compound modeling solutions. In the context of partnership, Project is going to create new methods of quantum systems modeling and to test them with the use of existing quantum processors. This project is one of the first commercial projects in the field of quantum computing in Russia. The amount and terms of the contract are not disclosed by the parties.
Modeling of complex systems such as materials, batteries, and medicines is extremely difficult for existing computers. The next generation of computing devices, which are quantum computers, will be able to solve such problems more efficiently.
“As part of the project, we are developing quantum chemistry methods using machine learning and quantum optimization. We plan to integrate the developed methods into the material design system, which is used today in Nissan. This will allow Nissan to unlock the huge potential of quantum computing for its tasks, and in the future, to achieve technological leadership,” said Alexey Fedorov, Head of the Group Quantum Information Technologies RQC, Ph.D. in Theoretical Physics.

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