Journal
PHYSICS LETTERS A
Volume 375, Issue 39, Pages 3425-3434Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physleta.2011.08.002
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Funding
- European Union
- Italian Ministry of Education
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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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