@article {1432, title = {Quantum state tomography via compressed sensing}, journal = {Physical Review Letters}, volume = {105}, year = {2010}, month = {2010/10/4}, abstract = { We establish methods for quantum state tomography based on compressed sensing. These methods are specialized for quantum states that are fairly pure, and they offer a significant performance improvement on large quantum systems. In particular, they are able to reconstruct an unknown density matrix of dimension d and rank r using O(rd log^2 d) measurement settings, compared to standard methods that require d^2 settings. Our methods have several features that make them amenable to experimental implementation: they require only simple Pauli measurements, use fast convex optimization, are stable against noise, and can be applied to states that are only approximately low-rank. The acquired data can be used to certify that the state is indeed close to pure, so no a priori assumptions are needed. We present both theoretical bounds and numerical simulations. }, doi = {10.1103/PhysRevLett.105.150401}, url = {http://arxiv.org/abs/0909.3304v4}, author = {David Gross and Yi-Kai Liu and Steven T. Flammia and Stephen Becker and Jens Eisert} }