Adaptive quantum tomography
arXiv:1610.02840 · doi:10.1134/S0021364016190024
Abstract
We provide a review of the experimental and theoretical research in the field of quantum tomography with an emphasis on recently developed adaptive protocols. Several statistical frameworks for adaptive experimental design are discussed. We argue in favor of the Bayesian approach, highlighting both its advantages for a statistical reconstruction of unknown quantum states and processes, and utility for adaptive experimental design. The discussion is supported by an analysis of several recent experimental implementations and numerical recipes.
A short review for JETP Letters. 12 pages, 6 figures
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- Quantifying Information Extraction using Generalized Quantum Measurements
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- Macroscopic approach to N-qudit systems
- Quantum state tomography as a numerical optimization problem
- Limitations for adaptive quantum state tomography in the presence of detector noise