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arxiv: 1511.06666 · v1 · pith:YFJ434GKnew · submitted 2015-11-20 · 🪐 quant-ph

Optimal quantum-state tomography with known parameters

classification 🪐 quant-ph
keywords knownoptimalparametersproblemsomestatetomographywhen
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It is a well-known fact that the optimal POVM for quantum state tomography is the symmetric, informationally complete, positive operator valued measure (SIC-POVM). We investigate the same problem only in the case when there are some a priori information about the state, specifically when some parameters are known. In this paper we mainly focus on solving a 3-dimensional optimization problem, which gives us a non-trivial example for the so-called conditional SIC- POVMs, a straightforward generalization of the concept of SIC-POVMs. We also present other special cases to show further applications of the proposed numerical methods and to illustrate the complexity of this topic.

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