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10 февраля 2020 г.

Atoms and molecules are quantum objects and creating mathematical models that can accurately predict their behavior is an extremely complex computational task that even the most powerful classical computers can hardly solve. For example, calculating a molecule containing 20 electrons by computer with 4,000 processors takes about a week. At the same time, as the number of atoms in the molecule increases, the calculation time increases exponentially.
The solution to the problem was proposed in 1981 by the Nobel laureate Richard Feynman, who proposed to model the behavior of quantum systems using other quantum systems, so he expressed the idea of a quantum simulator. Almost 40 years later, this idea is gradually being implemented in practice. Various physical systems can be used to build a quantum computer, such as superconducting qubits, neutral atoms in optical potentials, ions in traps, and photon chips.
Aleksey Fedorov, head of the Quantum Information Technologies group at the RQC, explains that in this case two new technologies will be used at once – quantum hardware and software based on machine learning algorithms. Many large technology companies, including Google, are currently implementing such projects. Already, research teams are working on modeling molecules. For example, IonQ has successfully modeled a water molecule using a quantum device, IBM has modeled the behavior of beryllium hydride, and launched a joint project with Daimler in January that will use quantum methods to develop next-generation batteries based on lithium and sulfur.
We remind you that a whole series of projects has been launched in Russia to support quantum technologies, including the field of quantum computing. The new project will allow future Russian quantum devices to be loaded with practical tasks.