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In this paper, we examine a variety of strategies for numerical quantum-stateestimation from data of the sort commonly measured in experiments involvingquantum state tomography. We find that, in some important circumstances, anelaborate and time-consuming numerical optimization to obtain 'the best'density matrix corresponding to a given data set is not necessary, and thatcruder, faster numerical techniques may well be 'good enough'.

Quantum State Tomography: 'the best' is the enemy of 'good enough'