A quantum annealing approach to ionic diffusion in solids.

Area of Science:

• Computational materials science
• Quantum computation
• Solid-state physics

Background:

• Current methods for calculating the correlation factor in ionic diffusion are limited to unrealistic models.
• Bridging microstructural details from ab initio techniques to macroscopic diffusion coefficients is challenging.

Purpose of the Study:

• To develop a quantum annealing computation framework for evaluating the correlation factor in ionic diffusion.
• To enable the connection between microstructural information and macroscopic diffusion properties.

Main Methods:

• Mapping the ionic diffusion problem to a quantum spin system (Ising Hamiltonian).
• Utilizing quantum annealing (including D-Wave hybrid solver) and comparing with classical methods (random walk, matrix description).
• Integrating the framework with ab initio techniques.

Main Results:

• All computational methods, including simulated and D-Wave quantum annealing, yielded consistent results for the correlation factor.
• Conventional methods often require computationally infeasible resources.
• Quantum annealing, despite current limitations, shows potential for superior performance.

Conclusions:

• The developed quantum annealing framework offers a promising approach to accurately calculate the correlation factor.
• Future advancements in quantum computing technology will make quantum annealing a powerful tool for materials science, enabling detailed understanding of diffusion processes.
• This method allows for the investigation of how factors like temperature, pressure, and atomic substitutions influence diffusion coefficients.