April 8, 2024, 4:42 a.m. | Sabee Grewal, Vishnu Iyer, William Kretschmer, Daniel Liang

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.03813v1 Announce Type: cross
Abstract: We define a quantum learning task called agnostic tomography, where given copies of an arbitrary state $\rho$ and a class of quantum states $\mathcal{C}$, the goal is to output a succinct description of a state that approximates $\rho$ at least as well as any state in $\mathcal{C}$ (up to some small error $\varepsilon$). This task generalizes ordinary quantum tomography of states in $\mathcal{C}$ and is more challenging because the learning algorithm must be robust to …

abstract arxiv class cs.lg least product quant-ph quantum state type

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