Benchmarking the performance of portfolio optimization with QAOA

Abstract

Benchmarking the performance of portfolio optimization with QAOA we also analyze the influence of statistical sampling errors (due to a finite number of shots) and gate and readout errors (due to imperfect quantum hardware). Finally, we define a criterion for distinguishing between 'easy' and 'hard' instances of the portfolio optimization problem.