Krylov shadow tomography produces exponentially converging bounds on quantum Fisher information that exactly match the QFI for low-rank states and outperform existing polynomial lower bounds.
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A new optimization-based protocol estimates quantum coherence from scarce data with system-size-independent cost and is experimentally demonstrated.
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Superiority of Krylov shadow tomography in estimating quantum Fisher information: From bounds to exactness
Krylov shadow tomography produces exponentially converging bounds on quantum Fisher information that exactly match the QFI for low-rank states and outperform existing polynomial lower bounds.
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Scalable protocol to coherence estimation from scarce data: Theory and experiment
A new optimization-based protocol estimates quantum coherence from scarce data with system-size-independent cost and is experimentally demonstrated.