Maximum-confidence discrimination among symmetric qudit states
O. Jim\'enez, M. A. Sol\'is-Prosser, A. Delgado, L. Neves

TL;DR
This paper develops an optimal measurement strategy for distinguishing symmetric qudit states with maximum confidence, introduces sequential measurements to improve identification success, and proposes an optical implementation example.
Contribution
It introduces the concept of sequential maximum-confidence measurements for symmetric qudit states and details their optimal physical realization.
Findings
Optimal POVM for maximum confidence in state discrimination
Sequential measurements increase overall success probability
Explicit optical network implementation example
Abstract
We study the maximum-confidence (MC) measurement strategy for discriminating among nonorthogonal symmetric qudit states. Restricting to linearly dependent and equally likely pure states, we find the optimal positive operator valued measure (POVM) that maximizes our confidence in identifying each state in the set and minimizes the probability of obtaining inconclusive results. The physical realization of this POVM is completely determined and it is shown that after an inconclusive outcome, the input states may be mapped into a new set of equiprobable symmetric states, restricted, however, to a subspace of the original qudit Hilbert space. By applying the MC measurement again onto this new set, we can still gain some information about the input states, although with less confidence than before. This leads us to introduce the concept of "sequential maximum-confidence" (SMC) measurements,…
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.
