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@@ -41,7 +41,7 @@ and we don't need manual labour to annotate a large number of samples to get tra
On the other hand, this approach inherits the common challenges of replacing experiments
with simulations: first, we need to ensure the chosen model has enough power to predict the
bheavior of real-world phenomena that we're interested in.
behavior of real-world phenomena that we're interested in.
In addition, the numerical approximations have numerical errors
which need to be kept small enough for a chosen application. As these topics are studied in depth
for classical simulations, the existing knowledge can likewise be leveraged to