Optimal error intervals for properties of the quantum state
Xikun Li, Jiangwei Shang, Hui Khoon Ng, Berthold-Georg Englert

TL;DR
This paper introduces optimal error intervals for directly estimating specific properties of quantum states from data, providing a statistically rigorous measure of accuracy that is computationally feasible and illustrated with qubit examples.
Contribution
It develops a method for constructing optimal error intervals for quantum state properties, bypassing full state estimation and enabling more efficient and meaningful property estimation.
Findings
Optimal error intervals maximize likelihood for data and specified size.
The method is applicable to single-qubit and two-qubit systems.
It includes an iterative algorithm for reliable marginal likelihood computation.
Abstract
Quantum state estimation aims at determining the quantum state from observed data. Estimating the full state can require considerable efforts, but one is often only interested in a few properties of the state, such as the fidelity with a target state, or the degree of correlation for a specified bipartite structure. Rather than first estimating the state, one can, and should, estimate those quantities of interest directly from the data. We propose the use of optimal error intervals as a meaningful way of stating the accuracy of the estimated property values. Optimal error intervals are analogs of the optimal error regions for state estimation [New J. Phys. 15, 123026 (2013)]. They are optimal in two ways: They have the largest likelihood for the observed data and the pre-chosen size, and are the smallest for the pre-chosen probability of containing the true value. As in the state…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
