A quantum annealing approach to ionic diffusion in solids

Abstract

We have developed a framework for using quantum annealing computation to evaluate a key quantity in ionic diffusion in solids, the correlation factor. Existing methods can only calculate the correlation factor analytically in the case of physically unrealistic models, making it difficult to relate microstructural information about diffusion path networks obtainable by current ab initio techniques to macroscopic quantities such as diffusion coefficients. We have mapped the problem into a quantum spin system described by the Ising Hamiltonian. By applying our framework in combination with ab initio technique, it is possible to understand how diffusion coefficients are controlled by temperatures, pressures, atomic substitutions, and other factors. We have calculated the correlation factor in a simple case with a known exact result by a variety of computational methods, including simulated quantum annealing on the spin models, the classical random walk, the matrix description, and quantum annealing on D-Wave with hybrid solver . This comparison shows that all the evaluations give consistent results with each other, but that many of the conventional approaches require infeasible computational costs. Quantum annealing is also currently infeasible because of the cost and scarcity of qubits, but we argue that when technological advances alter this situation, quantum annealing will easily outperform all existing methods.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 31, 2021
Source ID
10.1038/s41598-021-86274-3

Entities

People

  • Genki I. Prayogo
  • Keishu Utimula
  • Kenta Hongo
  • Kousuke Nakano
  • Ryo Maezono
  • Tom Ichibha

Organizations

  • Air Force Office of Scientific Research
  • Japan Science and Technology Agency
  • Japan Society for the Promotion of Science
  • Toyota

Tags

Fields of Study

  • Physics

Readers

  • Quantum Chemistry
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Systems Analysis and Design

Technology Areas

  • Quantum Computing