Minimax mean estimator for the trine
Hui Khoon Ng, Kia Tan Benjamin Phuah, and Berthold-Georg Englert

TL;DR
This paper investigates a quantum state estimator for a qubit in the x-z plane using the trine measurement, comparing a minimax mean estimator with simpler methods, and finds the simpler estimator often performs better.
Contribution
It introduces a minimax mean estimator for quantum state estimation and compares its performance with existing estimators, highlighting limitations of classical intuition in quantum problems.
Findings
Minimax mean estimator outperforms maximum-likelihood in worst-case error
Simpler adapted estimator from previous work remains more effective
Classical intuition may not always translate well to quantum estimation
Abstract
We explore the question of state estimation for a qubit restricted to the - plane of the Bloch sphere, with the trine measurement. In our earlier work [H. K. Ng and B.-G. Englert, eprint arXiv:1202.5136[quant-ph] (2012)], similarities between quantum tomography and the tomography of a classical die motivated us to apply a simple modification of the classical estimator for use in the quantum problem. This worked very well. In this article, we adapt a different aspect of the classical estimator to the quantum problem. In particular, we investigate the mean estimator, where the mean is taken with a weight function identical to that in the classical estimator but now with quantum constraints imposed. Among such mean estimators, we choose an optimal one with the smallest worst-case error-the minimax mean estimator-and compare its performance with that of other estimators. Despite the…
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