Study on Consumer Analysis using Quantum Approximate Optimization Algorithm

Abstract

In this study, was propose consumer analysis model applied QAQA(Quantum Approximate Optimization Algorithm) as a applied study for management science of quantum computing. It was defined the weight matrix and constraints in the proposal method, then there were applied as a proposal objective function to "Hamiltonian" that means solve the optimal solution at quantum computing. It becomes possible revealed redundant consumer activity process by proposal method. In the end, it was confirmed effectiveness of proposal method through evaluation experiment.