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Preprint Aug 2026

Optimal strategies for shadow tomography with limited resources

Shadow tomography addresses the task of efficiently predicting many expectation values of an unknown quantum state from randomized measurements on comparatively few copies. Existing analyses promise large scaling advantages, but the optimal strategies realizing these guarantees are not always known, and the required me...

Zhen-Peng Xu, Qi Ye, Jie Wang et al. · 1 citation
Jul 2026

The log log jam in Gaussian state tomography

Unlike in finite dimensions, quantum information in continuous-variable systems has the peculiar feature that without imposing physical constraints, the sample complexity of state tomography can be unbounded. Remarkably, this is even the case for state-of-the-art protocols for learning Gaussian states, which have finit...

Si-Tan Chen, W. Gong, Qi Ye et al. · 2 citations · ⚡1

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