论文标题
改进的样品复杂性下限（保真度）量子层造影
An Improved Sample Complexity Lower Bound for (Fidelity) Quantum State Tomography
论文作者
论文摘要
我们表明，为了学习以$ 1-ε$ fidelity学习经典的描述，必须使用$ω（RD/ε）$副本-D $ r $，dimension-dimension- $ d $ Quantum混合状态。这改善了Haah等人获得的层析成像的下限。和Wright（相对于忠实函数测量亲密关系时）。
We show that $Ω(rd/ε)$ copies of an unknown rank-$r$, dimension-$d$ quantum mixed state are necessary in order to learn a classical description with $1 - ε$ fidelity. This improves upon the tomography lower bounds obtained by Haah, et al. and Wright (when closeness is measured with respect to the fidelity function).
