Dual Map Framework for Noise Characterization of Quantum Computers
Abstract
In order to understand the capabilities and limitations of quantum computers, it is necessary to develop methods that efficiently characterize and benchmark error channels present on these devices. In this paper, we present a method that faithfully reconstructs a marginal (local) approximation of the effective noise (MATEN) channel, that acts as a single layer at the end of the circuit. We first introduce a dual map framework that allows us to analytically derive expectation values of observables with respect to noisy circuits. These findings are supported by numerical simulations of the quantum approximate optimization algorithm (QAOA) that also justify the MATEN, even in the presence of non-local errors that occur during a circuit. Finally, we demonstrate the performance of the method on Rigetti's Aspen-9 quantum computer for QAOA circuits up to six qubits, successfully predicting the observed measurements on a majority of the qubits.
Cite
@article{arxiv.2112.04414,
title = {Dual Map Framework for Noise Characterization of Quantum Computers},
author = {James Sud and Jeffrey Marshall and Zhihui Wang and Eleanor Rieffel and Filip A. Wudarski},
journal= {arXiv preprint arXiv:2112.04414},
year = {2022}
}
Comments
11 pages. 7 figures. 2 tables. 5 pages appendix