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Asymptotic Expansions of Laplace Integrals for Quantum State Tomography

Pierre Six 1 Pierre Rouchon 2, 1
2 QUANTIC - QUANTum Information Circuits
ENS Paris - École normale supérieure - Paris, UPMC - Université Pierre et Marie Curie - Paris 6, MINES ParisTech - École nationale supérieure des mines de Paris, Inria de Paris
Abstract : Bayesian estimation of a mixed quantum state can be approximated via maximum likelihood (MaxLike) estimation when the likelihood function is sharp around its maximum. Such approximations rely on asymptotic expansions of multi-dimensional Laplace integrals. When this maximum is on the boundary of the integration domain, as is the case when the MaxLike quantum state is not full rank, such expansions are not standard. We provide here such expansions, even when this maximum does not lie on the smooth part of the boundary, as in the case when the rank deficiency exceeds two. Aside from the MaxLike estimate of the quantum state, these expansions provide confidence intervals for any observable. They confirm the formula proposed and used without precise mathematical justifications by the authors in an article recently published in Physical Review A.
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Submitted on : Friday, May 26, 2017 - 11:03:08 PM
Last modification on : Monday, December 14, 2020 - 9:49:35 AM

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Pierre Six, Pierre Rouchon. Asymptotic Expansions of Laplace Integrals for Quantum State Tomography. Feedback Stabilization of Controlled Dynamical Systems, 473, Springer, 2017, Lecture Notes in Control and Information Sciences, ⟨10.1007/978-3-319-51298-3_12⟩. ⟨hal-01528082⟩



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