Quantum Fisher Information: Variational principle and simple iterative algorithm for its efficient computation

Abstract

We derive a new variational principle for the quantum Fisher information leading to a simple iterative alternating algorithm, the convergence of which is proved. The case of a fixed measurement, i.e. the classical Fisher information, is also discussed.

6 pages, 1 figure

References in corpus (1)

• Beyond quantum Fisher information: optimal phase estimation with arbitrary a priori knowledge

Cited by in corpus (1)

• TNQMetro: Tensor-network based package for efficient quantum metrology computations