Quantum speed limit focuses on the minimum time scale for a fixed mission and
hence is important in quantum information where fast dynamics is usually
beneficial. Recently an operational definition of quantum speed limit (OQSL)
was proposed, which reveals the intrinsic minimum time for time-independent
Hamiltonians. However, a general method to evaluate the OQSL for time-dependent
Hamiltonians, especially when noises are involved, is still in lack. Hereby we
provide the expression of OQSL for a certain type of time-dependent
Hamiltonians and propose a three-step (classification-regression-calibration)
methodology based on machine learning for the evaluation of OQSL in complex
dynamics.Comment: 24 pages, 14 figures, 1 tabl