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Trapped Ion Quantum Computing
Adaptive quantum tomography
arXiv
Authors: Stanislav Straupe
Year
2016
Paper ID
43043
Status
Preprint
Abstract Read
~2 min
Abstract Words
76
Citations
N/A
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.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2016 reference point for readers tracking recent quantum research.
- We provide a review of the experimental and theoretical research in the field of quantum tomography with an emphasis on recently developed adaptive protocols.
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