期刊
PHYSICS LETTERS A
卷 375, 期 39, 页码 3425-3434出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physleta.2011.08.002
关键词
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资金
- European Union
- Italian Ministry of Education
We study quantum learning algorithms for quantum measurements. The optimal learning algorithm is derived for arbitrary von Neumann measurements in the case of training with one or two examples. The analysis of the case of three examples reveals that, differently from the learning of unitary gates, the optimal algorithm for learning of quantum measurements cannot be parallelized, and requires quantum memories for the storage of information. (C) 2011 Elsevier B.V. All rights reserved.
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