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A Volume Inequality for Quantum Fisher Information and the Uncertainty Principle
Authors:Paolo Gibilisco  Daniele Imparato  Tommaso Isola
Institution:(1) Dipartimento SEFEMEQ, Facoltà di Economia, Università di Roma “Tor Vergata”, Via Columbia 2, 00133 Rome, Italy;(2) Dipartimento di Matematica, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy;(3) Dipartimento di Matematica, Università di Roma “Tor Vergata”, Via della Ricerca Scientifica, 00133 Rome, Italy
Abstract:Let A 1,…,A N be complex self-adjoint matrices and let ρ be a density matrix. The Robertson uncertainty principle
$$\det\{\mathop{Cov}_{\rho}(A_{h},A_{j})\}\geq \det \biggl\{-\frac{i}{2}\mathop{Tr}(\rho A_{h},A_{j}])\biggr\}$$
gives a bound for the quantum generalized covariance 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 〈⋅,⋅〉 ρ,f be the associated quantum Fisher information. Based on previous results of several authors, we propose here as a conjecture the inequality
$$\det\{\mathop{Cov}_{\rho}(A_{h},A_{j})\}\geq \det \biggl\{\frac{f(0)}{2}\langle i\rho,A_{h}],i\rho,A_{j}]\rangle_{\rho,f}\biggr\}$$
whose validity would give a non-trivial bound for any N∈ℕ using the commutators iρ,A h ].
Keywords:Generalized variance  Uncertainty principle  Operator monotone functions  Matrix means  Quantum Fisher information
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