For any finite dimensional Hilbert space, we construct explicitly five orthonormal bases such that the corresponding measurements allow for efficient tomography of an arbitrary pure quantum state. This means that such measurements can be used to distinguish an arbitrary pure state from any other state, pure or mixed, and the pure state can be reconstructed from the outcome distribution in a feasible way. The set of measurements we construct is independent of the unknown state, and therefore our results provide a fixed scheme for pure state tomography, as opposed to the adaptive (state dependent) scheme proposed by Goyeneche et al. in [Phys. Rev. Lett. 115, 090401 (2015)]. We show that our scheme is robust with respect to noise in the sense that any measurement scheme which approximates these measurements well enough is equally suitable for pure state tomography. Finally, we present two convex programs which can be used to reconstruct the unknown pure state from the measurement outcome distributions.Introduction.-The aim of quantum tomography is to reconstruct the unknown state of a quantum system by performing suitable measurements on it. Tomography is a vital routine in quantum information, where it is used to characterize output states and test processing devices. However, quantum tomography is a consuming task: in order to obtain enough information for state reconstruction of a d-level system, it is necessary to perform measurements of d+1 different orthonormal bases, or a generalized measurement with at least d 2 outcomes. This poor scaling has led to the search for more efficient methods which allow for a reduction of resources in specific cases.Recent focus has been on the identification of unknown pure (or more generally low rank) states [1][2][3][4][5][6][7]. Any two pure states can be distinguished with a measurement having just ∼ 4d outcomes [1] or, when restricting to projective measurements, with only four orthonormal bases [3,7,8]. The drawback of these approaches is that the measurements they provide cannot distinguish pure states from all states, implying that one needs to know that the state is pure prior to the measurement in order not to confuse it with mixed states having the same measurement outcome distributions. Moreover, none of the approaches allows an efficient recovery algorithm, mainly since the non-convex nature of the problem renders usual techniques from convex optimization useless.In [9], a scheme involving five orthonormal bases along with a reconstruction algorithm was proposed and experimentally demonstrated. Remarkably, such a scheme allows to certify the purity assumption on the state directly from the measurement outcomes. However, this