Moscow-Tokyo – 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 a result, the business will be able to find practical solutions such as modeling of new materials, production of devices of a new class from such materials, and selection of optimal characteristics or reactions inside these materials, which are necessary for increasing the subsequent efficiency. One of the real challenges for the industry and business is the modeling of chemical compounds used in the batteries manufacturing process.
“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.
“Quantum technologies are promising for solving many industrial challenges. The materials that can be created with quantum chemistry will significantly increase the power and capacity of batteries. As a result, we will get the opportunity to create highly efficient and environmentally-friendly transport, as well as new solutions. The future is behind these technologies and, together with our partner, Russian Quantum Center, we are striving to become a pioneer in this industry,” said Shigeo Ibuka, Head of Nissan R&D center in Russia, Ph.D. in Physics.
In the long term, the use of quantum technologies will significantly reduce the time for the development of new materials, as well as predict their compliance with the requirements of industry and business. The RQC team will conduct research using both existing quantum computers and their own-developed quantum-inspired algorithms.
About Russian Quantum Center (RQC)
The Russian Quantum Center (RQC) is a non-governmental organization specializing in fundamental research in the field of quantum physics and the development of devices and technologies based on quantum effects. The Center was founded in December 2010 and became one of the first residents of the Skolkovo Innovation Center. RQC is one of the authors of the roadmap for the development of quantum technologies in Russia until 2024.
At the moment, RQC has more than 150 employees, 14 laboratories, and 7 spin-offs aimed at the commercialization of the developments. In 2017, RQC developed the world’s first quantum blockchain. RQC technologies are being actively introduced into government and business structures around the world.
RQC’s Quantum Machine Learning Project
RQC’s Quantum Machine Learning Project is engaged in research and business-oriented projects in the field of quantum computing. The work is carried out in several directions: development of the strategy of quantum computing application and development of the QBoard quantum computing cloud platform, SimCIM simulator based on quantum-inspired algorithms, and other solutions. Some software products are already available for commercial use.