pith. sign in

arxiv: 1001.2029 · v1 · pith:JLQ2GLBZnew · submitted 2010-01-12 · 🪐 quant-ph

Hedged maximum likelihood estimation

classification 🪐 quant-ph
keywords hmleestimationlikelihoodmaximumbetterestimatehedgedmethod
0
0 comments X
read the original abstract

This paper proposes and analyzes a new method for quantum state estimation, called hedged maximum likelihood (HMLE). HMLE is a quantum version of Lidstone's Law, also known as the "add beta" rule. A straightforward modification of maximum likelihood estimation (MLE), it can be used as a plugin replacement for MLE. The HMLE estimate is a strictly positive density matrix, slightly less likely than the ML estimate, but with much better behavior for predictive tasks. Single-qubit numerics indicate that HMLE beats MLE, according to several metrics, for nearly all "true" states. For nearly-pure states, MLE does slightly better, but neither method is optimal.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.