Our examples serve to illustrate the need to account for noise imbalance in future NISQ-computation of chemistry that targets high fidelity and accuracy. What we mean by noise imbalance is that some observables are more protected against errors than others. For example, in the context of electron densities, symmetries of orbitals in the chosen active space, the encoding, the ansatz, etc., can all affect relative noise when comparing local properties at different points in space. We note that multiple approaches exist that could potentially mitigate noise imbalance (see, for instance, Refs. 57-60 and references therein).