Dual-map framework for noise characterization of quantum computers

In order to understand the capabilities and limitations of quantum computers, it is necessary develop methods that efficiently characterize benchmark error channels present on these devices. this paper, we a method faithfully reconstructs marginal (local) approximation effective noise (MATEN) channel, acts as single layer at end circuit. We first introduce dual map framework allows us analytically derive expectation values observables with respect noisy circuits. These findings are supported by numerical simulations approximate optimization algorithm (QAOA) also justify MATEN, even in presence non-local errors occur during Finally, demonstrate performance Rigetti's Aspen-9 computer for QAOA circuits up six qubits, successfully predicting observed measurements majority qubits.