The properties of molecules and materials on a quantum simulator, A new technique for studying the properties of molecules and quantum simulator materials has been discovered.

New innovative technologies can pave the way for the next generation of quantum computers. Current quantum calculation methods for examining the properties of molecules and materials on such a small scale are based on ideal quantum computers or error-tolerance variation techniques.

Instead, the proposed new approach is based on applying quantum development, which will be available in many systems. This approach is perfect for advanced quantum optimization, including lattices with cold atoms, and can serve as software for future applications in materials science. The properties of molecules and materials on a quantum simulator.

This study could pave the way for studies of highly correlated system properties, including models valued by Fermi-Hubbard, which potentially explain high-temperature superconductivity.

The idea of ​​quantum simulation was suggested by Nobel Prize winner Richard Feynman in 1982. He suggested that quantum models can be naturally simulated if we use a well-controlled intrinsic quantum system. This idea has given rise to a separate branch of quantum information science, which is based on the concept of quantum computers, universal quantum devices with the help of digital sequences of operations (quantum gates) that can solve certain problems with excellent scaling of the operations required compared to conventional classical computers.

The basic technique that allows one to reach ground state is to represent a non-nuclear operator that “filters” the ground state by releasing the number of individual evolutionary operators for different evolutionary times. This study shows that the dynamics of a quantum system is a valuable resource for calculations because the ability to disseminate a system in conjunction with overlapping measurements provides access to the low temperature spectrum of the quantum system that determines its behavior.

The results form a dynamically based quantum simulation framework with programmable quantum simulators and function as quantum software for highly controlled quantum lattice systems where a large number of atoms (~ 100) do not include classical simulations. This, in turn, can revolutionize our understanding of condensed matter and complex chemical systems.