zne-2-use-case.md

jupytext	kernelspec
text_representation extension format_name format_version jupytext_version .md myst 0.13 1.10.3	display_name language name Python 3 (ipykernel) python python3

When should I use ZNE?

Advantages

Zero noise extrapolation is one of the simplest error mitigation techniques and, in many practical situations, it can be applied with a relatively small sampling cost. The main advantage of ZNE is that the technique can be applied without a detailed knowledge of the undelying noise model. Therefore it can be a good option in situations where tomography is impractical.

Disadvantages

In some instances the results of the extrapolation can exhibit a large bias {cite}Mari_2021_PRA. ZNE may not be helpful in cases where a low degree polynomial curve obtained by fitting the noisy expectation values does not match the zero-noise limit. When using circuits of less trivial depth on real devices, the lowest error points may be too noisy for the extrapolation to show improvement over the unmitigated result {cite}Lowe_2021_PRR.

Example

For a simple example in which the application of ZNE reduces the estimation error when compared to the unmitigated result, see:

Zero Noise Extrapolation for mitigating errors in energy landscape of a two-qubit variational circuit