Good question. There are different ways that errors come into analog computations, including thermal noise, measurement imprecision, and imprecision of the device's physical parameters. This work addresses thermal noise (which is always present at finite temperature), and provides algorithms which are indifferent to thermal noise, or even benefit from it. The other sources of error can, in principle, be made arbitrarily small (at least down to the quantum limit), but in practice are also limiting factors. Progress has been made on error mitigation methods to deal with these other sources of error, so stay tuned.