The two-electron integrals $(\alpha \beta | \gamma \delta )$ are typically evaluated in terms of the atomic orbital (AO) basis functions, since in a Gaussian basis set these can be done analytically. Figuring out the maximal value of the AO and its derivatives is trivial, since you know the analytic form of the function, which is highly monotonic.
However, for calculations including electron correlation i.e. quantum computing applications and post-Hartree-Fock methods you actually need the integrals in the molecular orbital (MO) basis, which are obtained from the AO integrals with the transform
$(ij|kl)=\sum_{\alpha\beta\gamma\delta} C_{\alpha i} C_{\beta j} C_{\gamma k} C_{\delta l} (\alpha \beta | \gamma \delta )$, where ${\bf C}$ are the MO coefficients. (In practice, the transform is carried out as four consecutive one-index transforms that can be expressed as matrix-matrix products, since this scales as $N^5$ instead of $N^8$.)
Now, the question is: how to determine the maximal value of a MO $\phi_i({\bf r}) = \sum_\alpha C_{\alpha i} \chi_{\alpha} ({\bf r})$ and its derivative, where $\chi_\alpha$ is the AO. This is a global optimization problem, for which there is no simple solution. You essentially need to sample over all of ${\bf r}$ to find where the minima lie, and you still don't have a guarantee of finding the real minimum.
There are clever schemes, though, to directly estimate the value of the AO two-electron integral; this allows avoiding explicit computation of AO small integrals.