Statistical quality assessment of Ising-based annealer outputs

Abstract The ability to evaluate the outcomes of quantum annealers is essential for such devices be used in complex computational tasks. We introduce a statistical test quality Ising-based annealers’ output based on data only, assessing ground state’s probability being sampled. A higher value implies that at least lower part spectrum sample. Assuming plausible model univariate energy distribution sample, we express ground-state and temperature as function cumulants up third order. Using annealer samples, this multiple times using Bootstrap resampling, resulting an estimated histogram energies deduce desired parameter basis. approach provides easily implementable method primary validation output. demonstrate its behavior through experiments made with actual samples originating from devices.