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Optimal Generators for Quantum Sensing

Jarrod T. Reilly, John Drew Wilson, Simon B. Jäger, Christopher Wilson, and Murray J. Holland
Phys. Rev. Lett. 131, 150802 – Published 11 October 2023
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Abstract

We propose a computationally efficient method to derive the unitary evolution that a quantum state is most sensitive to. This allows one to determine the optimal use of an entangled state for quantum sensing, even in complex systems where intuition from canonical squeezing examples breaks down. In this paper we show that the maximal obtainable sensitivity using a given quantum state is determined by the largest eigenvalue of the quantum Fisher information matrix (QFIM) and the corresponding evolution is uniquely determined by the coinciding eigenvector. Since we optimize the process of parameter encoding rather than focusing on state preparation protocols, our scheme is relevant for any quantum sensor. This procedure naturally optimizes multiparameter estimation by determining, through the eigenvectors of the QFIM, the maximal set of commuting observables with optimal sensitivity.

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  • Received 24 May 2023
  • Accepted 11 August 2023

DOI:https://doi.org/10.1103/PhysRevLett.131.150802

© 2023 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyAtomic, Molecular & Optical

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Matching a Measurement to a Quantum State

Published 11 October 2023

A new method identifies the most sensitive measurement that can be performed using a given quantum state, knowledge key for designing improved quantum sensors.

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Authors & Affiliations

Jarrod T. Reilly1,*, John Drew Wilson1, Simon B. Jäger2, Christopher Wilson3, and Murray J. Holland1

  • 1JILA, NIST, and Department of Physics, University of Colorado, 440 UCB, Boulder, Colorado 80309, USA
  • 2Physics Department and Research Center OPTIMAS, Technische Universität Kaiserslautern, D-67663 Kaiserslautern, Germany
  • 3Department of Physics, Cornell University, Ithaca, New York 14853, USA

  • *Corresponding author. Jarrod.Reilly@colorado.edu

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Issue

Vol. 131, Iss. 15 — 13 October 2023

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