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Bosonic Gaussian states can be identified with unprecedented accuracy using a novel warm-start strategy combined with non-Gaussian measurements, outperforming classical Gaussian estimation.
Sparse recovery requires quadratically more samples in adaptive settings than oblivious ones, a surprising divergence from the well-understood $\ell_2$ norm.