The authors study the estimation of a Hamiltonian parameter under Markovian noise with the help of fast quantum controls. When the sensing time is long, the paper shows that for a generic set of Markovian evolutions, there exists an approximate quantum error correction strategy which is the best among all types of quantum controls and minimizes the estimation error asymptotically.
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A 2020 study studied this question.