Variational quantum algorithm for estimating the quantum Fisher information

The quantum Fisher information (QFI) quantifies the ultimate precision of estimating a parameter from a quantum state and can be regarded as a reliability measure of a quantum system as a quantum sensor. However, estimation of the QFI for a mixed state is in general a computationally demanding task....

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Main Authors: Jacob L. Beckey, M. Cerezo, Akira Sone, Patrick J. Coles
Format: Article
Language:English
Published: American Physical Society 2022-02-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.4.013083
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author Jacob L. Beckey
M. Cerezo
Akira Sone
Patrick J. Coles
author_facet Jacob L. Beckey
M. Cerezo
Akira Sone
Patrick J. Coles
author_sort Jacob L. Beckey
collection DOAJ
description The quantum Fisher information (QFI) quantifies the ultimate precision of estimating a parameter from a quantum state and can be regarded as a reliability measure of a quantum system as a quantum sensor. However, estimation of the QFI for a mixed state is in general a computationally demanding task. In this paper we present a variational quantum algorithm called variational quantum Fisher information estimation (VQFIE) to address this task. By estimating lower and upper bounds on the QFI, based on bounding the fidelity, VQFIE outputs a range in which the actual QFI lies. This result can then be used to variationally prepare the state that maximizes the QFI, for the application of quantum sensing. In contrast to previous approaches, VQFIE does not require knowledge of the explicit form of the sensor dynamics. We simulate the algorithm for a magnetometry setup and demonstrate the tightening of our bounds as the state purity increases. For this example, we compare our bounds with literature bounds and show that our bounds are tighter.
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spelling doaj.art-5f8701fe68b94cb0b1cac2c68a8b2ad62024-04-12T17:17:41ZengAmerican Physical SocietyPhysical Review Research2643-15642022-02-014101308310.1103/PhysRevResearch.4.013083Variational quantum algorithm for estimating the quantum Fisher informationJacob L. BeckeyM. CerezoAkira SonePatrick J. ColesThe quantum Fisher information (QFI) quantifies the ultimate precision of estimating a parameter from a quantum state and can be regarded as a reliability measure of a quantum system as a quantum sensor. However, estimation of the QFI for a mixed state is in general a computationally demanding task. In this paper we present a variational quantum algorithm called variational quantum Fisher information estimation (VQFIE) to address this task. By estimating lower and upper bounds on the QFI, based on bounding the fidelity, VQFIE outputs a range in which the actual QFI lies. This result can then be used to variationally prepare the state that maximizes the QFI, for the application of quantum sensing. In contrast to previous approaches, VQFIE does not require knowledge of the explicit form of the sensor dynamics. We simulate the algorithm for a magnetometry setup and demonstrate the tightening of our bounds as the state purity increases. For this example, we compare our bounds with literature bounds and show that our bounds are tighter.http://doi.org/10.1103/PhysRevResearch.4.013083
spellingShingle Jacob L. Beckey
M. Cerezo
Akira Sone
Patrick J. Coles
Variational quantum algorithm for estimating the quantum Fisher information
Physical Review Research
title Variational quantum algorithm for estimating the quantum Fisher information
title_full Variational quantum algorithm for estimating the quantum Fisher information
title_fullStr Variational quantum algorithm for estimating the quantum Fisher information
title_full_unstemmed Variational quantum algorithm for estimating the quantum Fisher information
title_short Variational quantum algorithm for estimating the quantum Fisher information
title_sort variational quantum algorithm for estimating the quantum fisher information
url http://doi.org/10.1103/PhysRevResearch.4.013083
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