Helstrom's Theory on Quantum Binary Decision Revisited

TL;DR

This paper revisits Helstrom's quantum binary decision theory, introducing a Gram matrix method that simplifies the evaluation of optimal measurements, especially for mixed states and infinite-dimensional systems like quantum optics.

Contribution

It proposes a Gram matrix-based approach to evaluate Helstrom's optimal measurement, reducing complexity and enabling explicit solutions for mixed and infinite-dimensional states.

Findings

Gram matrix method simplifies calculations for mixed states.

Explicit evaluation of binary quantum system performance is now possible.

Method applicable to infinite-dimensional systems like quantum optical communications.

Abstract

For a binary system specified by the density operators r0 and r1 and by the prior probabilities q0 and q1, Helstrom's theory permits the evaluation of the optimal measurement operators and of the corresponding maximum correct detection probability. The theory is based on the eigendecomposition (EID) of the operator, given by the difference of the weighted density operators, namely D = q1r1-q0r0. In general, this EID is obtained explicitly only with pure states, whereas with mixed states it must be carried out numerically. In this letter we show that the same evaluation can be performed on the basis of a modified version of the Gram matrix. The advantage is due to the fact that the outer products of density operators are replaced by inner product, with a considerable dimensionality reduction. At the limit, in quantum optical communications the density operators have infinite dimensions, whereas the inner products are simply scalar quantities. The Gram matrix approach permits the explicit (not numerical) evaluation of a binary system performance in cases not previously developed.