Presentation Information
[11a-PA3-18]Optimization of Higher-Order Cluster-Expansion Hamiltonians for Crystalline Alloys Using Ising Machines
〇Kazuhide Ichikawa1, Satoru Ohuchi1, Tomoyasu Yokoyama1, Takuma Saito2, Yoshiki Matsuda2 (1.Panasonic HD, 2.Fixstars Amplify)
Keywords:
Cluster Expansion,Ising machine,Combinatorial Optimization
In this study, Au–Cu alloys were used as a model system to investigate a method for optimizing higher-order cluster-expansion Hamiltonians using an Ising-machine-based approach. Composition-constrained optimization problems for cubic and quartic cluster-expansion models containing up to several thousand atoms were solved using the simulated bifurcation algorithm. The results demonstrate the applicability of the method to large-scale and high-order optimization problems. Furthermore, the proposed approach achieved a higher probability of obtaining the best solution while requiring shorter computation times than conventional methods.