4.5 Article

A Robertson-type uncertainty principle and quantum Fisher information

Journal

LINEAR ALGEBRA AND ITS APPLICATIONS
Volume 428, Issue 7, Pages 1706-1724

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.laa.2007.10.013

Keywords

generalized variance; uncertainty principle; operator monotone functions; matrix means; quantum Fisher information

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Let A1,...,A(N) be complex self-adjoint matrices and let rho be a density matrix. The Robertson uncertainty principle det{Cov rho(A(h), A(j))} >= det{ -1/2Tr(rho[A(h), A(j)])} gives a bound for the quantum generalized variance in terms of the commutators [A(h), A(j)]. The right side matrix is antisymmetric and therefore the bound is trivial (equal to zero) in the odd case N = 2m + 1. Let f be an arbitrary normalized symmetric operator monotone function and let (.,.)(rho,f) be the associated quantum Fisher information. We have conjectured the inequality det{Cov rho(A(h), A(j))} >= det {f(0)/2 < i[rho, A(h)], i[rho, Aj]>rho,f} that gives a non-trivial bound for any N is an element of N using the commutators [rho, A(h)]. In the present paper the conjecture is proved by mean of the Kubo-Ando mean inequality. (c) 2007 Elsevier Inc. All rights reserved.

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