Robust Estimation of the Quantum Fisher Information on a Quantum Processor

We present the experimental measurement, on a quantum processor, of a series of polynomial lower bounds that to the quantum Fisher information (QFI), a fundamental quantity for certifying multipartite entanglement that is useful for metrological applications. We combine advanced methods of the randomized measurement toolbox to obtain estimators that are robust regarding drifting errors caused uniquely during the randomized measurement protocol. We estimate the QFI for Greenberger-Horne-Zeilinger states, observing genuine multipartite entanglement. Then we prepare the ground state of the transverse-field Ising model at the critical point using a variational circuit. We estimate its QFI and investigate the interplay between state optimization and noise induced by our increasing the circuit depth. Published by the American Physical Society 2024

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Publication Details

Journal
PRX Quantum
Published
2024-08-21
DOI
https://doi.org/10.1103/prxquantum.5.030338
Citations
22
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
7.64

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Robust Estimation of the Quantum Fisher Information on a Quantum Processor

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PRX Quantum
Quantum Computing Algorithms and Architecture
7.64
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Robust Estimation of the Quantum Fisher Information on a Quantum Processor

Petar Jurcevic, Aniket Rath, Benoît Vermersch, Andreas Elben, Vittorio Vitale, Cyril Branciard
article en
22 citations

Abstract

We present the experimental measurement, on a quantum processor, of a series of polynomial lower bounds that to the quantum Fisher information (QFI), a fundamental quantity for certifying multipartite entanglement that is useful for metrological applications. We combine advanced methods of the randomized measurement toolbox to obtain estimators that are robust regarding drifting errors caused uniquely during the randomized measurement protocol. We estimate the QFI for Greenberger-Horne-Zeilinger states, observing genuine multipartite entanglement. Then we prepare the ground state of the transverse-field Ising model at the critical point using a variational circuit. We estimate its QFI and investigate the interplay between state optimization and noise induced by our increasing the circuit depth. Published by the American Physical Society 2024

PRX QuantumVol. 5(3)
California Institute of Technology (US), Centre National de la Recherche Scientifique (FR), IBM (United States) (US), Austrian Academy of Sciences (AT), Universität Innsbruck (AT), Burke Foundation (US), Instituto de Física Teórica (ES), Laboratoire de Physique et Modélisation des Milieux Condensés (FR), Institut Néel (FR), Université Grenoble Alpes (FR)
Agence Nationale de la Recherche, Deutsche Akademie der Naturforscher Leopoldina - Nationale Akademie der Wissenschaften
Openalex Percentile: Top 2%
Quantum Computing Algorithms and Architecture
7.64
DOIOpen Access PDFOpenAlex
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Robust Estimation of the Quantum Fisher Information on a Quantum Processor — Petar Jurcevic, Aniket Rath, et al. · PRX Quantum (2024) | TGRS Research Map | TGRS