Please use this identifier to cite or link to this item: https://doi.org/10.1142/S0219749912500384
Title: A simple minimax estimator for quantum states
Authors: Ng, H.K.
Englert, B.-G. 
Keywords: Bayesian
maximum likelihood
minimax
Quantum tomography
state estimation
Issue Date: Jun-2012
Citation: Ng, H.K., Englert, B.-G. (2012-06). A simple minimax estimator for quantum states. International Journal of Quantum Information 10 (4) : -. ScholarBank@NUS Repository. https://doi.org/10.1142/S0219749912500384
Abstract: Quantum tomography requires repeated measurements of many copies of the physical system, all prepared by a source in the unknown state. In the limit of very many copies measured, the often-used maximum-likelihood (ML) method for converting the gathered data into an estimate of the state works very well. For smaller data sets, however, it often suffers from problems of rank deficiency in the estimated state. For many systems of relevance for quantum information processing, the preparation of a very large number of copies of the same quantum state is still a technological challenge, which motivates us to look for estimation strategies that perform well even when there is not much data. After reviewing the concept of minimax state estimation, we use minimax ideas to construct a simple estimator for quantum states. We demonstrate that, for the case of tomography of a single qubit, our estimator significantly outperforms the ML estimator for small number of copies of the state measured. Our estimator is always full-rank, and furthermore, has a natural dependence on the number of copies measured, which is missing in the ML estimator. © 2012 World Scientific Publishing Company.
Source Title: International Journal of Quantum Information
URI: http://scholarbank.nus.edu.sg/handle/10635/95685
ISSN: 02197499
DOI: 10.1142/S0219749912500384
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