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Provable compressed sensing quantum state tomography via non-convex methods

NPJ QUANTUM INFORMATION, no. 1 (2018): 36

Cited by: 6|Views84
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Abstract

With nowadays steadily growing quantum processors, it is required to develop new quantum tomography tools that are tailored for high-dimensional systems. In this work, we describe such a computational tool, based on recent ideas from non-convex optimization. The algorithm excels in the compressed sensing setting, where only a few data poi...More

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