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A novel shadow tomography algorithm achieves near-optimal sample complexity by exploiting average-case guarantees, but an inherent measurement bottleneck limits further improvement.
Learning the structure of open quantum systems is now feasible with a simple, efficient algorithm that overcomes unique challenges posed by Lindbladians.