Optimal parameter estimation with a fixed rate of abstention
B. Gendra, E. Ronco-Bonvehi, J. Calsamiglia, R. Mu\~noz-Tapia, E., Bagan

TL;DR
This paper explores optimal quantum parameter estimation strategies that incorporate abstention, demonstrating significant improvements and achieving the Heisenberg limit in some scenarios through a comprehensive mathematical framework and numerical methods.
Contribution
It introduces a general framework for quantum parameter estimation with abstention, providing analytical results and efficient numerical optimization techniques.
Findings
Abstention schemes can reach the Heisenberg limit in some cases.
A mathematical framework for large quantum systems is developed.
Parameter estimation with abstention is formulated as a semidefinite programming problem.
Abstract
The problems of optimally estimating a phase, a direction, and the orientation of a Cartesian frame (or trihedron) with general pure states are addressed. Special emphasis is put on estimation schemes that allow for inconclusive answers or abstention. It is shown that such schemes enable drastic improvements, up to the extent of attaining the Heisenberg limit in some cases, and the required amount of abstention is quantified. A general mathematical framework to deal with the asymptotic limit of many qubits or large angular momentum is introduced and used to obtain analytical results for all the relevant cases under consideration. Parameter estimation with abstention is also formulated as a semidefinite programming problem, for which very efficient numerical optimization techniques exist.
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.
