Cited by 403Quantum Information and CryptographyQuantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Generalized Limits for Single-Parameter Quantum Estimation

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Boixo, Sergio, Flammia, Steven T., Caves, Carlton M., Geremia, JM·2007·Physical Review Letters

Abstract

We develop generalized bounds for quantum single-parameter estimation problems for which the coupling to the parameter is described by intrinsic multisystem interactions. For a Hamiltonian with k-system parameter-sensitive terms, the quantum limit scales as 1/Nk, where N is the number of systems. These quantum limits remain valid when the Hamiltonian is augmented by any parameter-independent interaction among the systems and when adaptive measurements via parameter-independent coupling to ancillas are allowed.

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Crossref · 10.1103/physrevlett.98.090401

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  • Exceptions to the limitation of m include the Dicke model, the Lipkin-Meshkov-Glick model, and the Mølmer-Sørensen interaction.

    “Exceptions to this include the Dicke model [40] where collective coherence leads to superradiance, the Lipkin-Meshkov-Glick model [41], where all particles interact with each other, and the Mølmer-Sørensen interaction [42], in which an ensemble of ions are effectively coupled by a spatially uniform electromagnetic field.”

    From Enhancing the Charging Power of Quantum Batteries (2017) · cites this paper as [40]

  • For N-qubit dephasing, the bound on minimum evolution time is given by Eq. (18).

    “where α ( t ), β ( t ), and δ ( t ) are optimization variables. We get then [47]”

    From Quantum Speed Limit for Physical Processes (2013) · cites this paper as [47]

  • Eq. (14) captures the fact that the evolved and initial states never become orthogonal for r under a critical value rcrit ≃ 2.6.

    “Another feature of (14) is that it captures the fact that the evolved and initial states never become orthogonal for r under a critical value r crit ≃ 2 . 6 [47].”

    From Quantum Speed Limit for Physical Processes (2013) · cites this paper as [47]

  • For Markovian dephasing, the minimum of CQ(t) over all Hermitian 2x2 operators hE(t), written in terms of the constant variance of Z, is given by Eq. (13).

    “In order to find the best possible bound on τ within our approach, we now minimize C Q ( t ) over the whole set of Hermitian 2 × 2 operators ˆ h E ( t ). The minimum, written in terms of the (constant) variance of ˆ Z , is [47]”

    From Quantum Speed Limit for Physical Processes (2013) · cites this paper as [47]

  • This transition to faster behavior can be corroborated via direct calculations on symmetric, separable states.

    “This transition to faster behavior can be corroborated via direct calculations on symmetric, separable states [47].”

    From Quantum Speed Limit for Physical Processes (2013) · cites this paper as [47]

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References 16 · Cited by 403

Authors
Boixo, S., Flammia, S. T., Caves, C. M., & Geremia, J.
Affiliations
University of New Mexico (US)
Venue
Physical Review Letters
Published
2007-02-28
Volume
98
Issue
9
Pages
090401-090401
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2160139326
Cited by
403
References
16
Citations by year
2026: 25 · 2025: 43 · 2024: 29 · 2023: 22 · 2022: 23 · 2021: 28 · 2020: 26 · 2019: 18 · 2018: 17 · 2017: 22 · 2016: 17 · 2015: 12 · 2014: 27 · 2013: 13 · 2012: 19
FWCI
19.33
Type
journal article
Language
en
Open access
Locations
  • Physical Review Letters (publishedVersion)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
  • arXiv (Cornell University)
  • Bulletin of the American Physical Society
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
Keywords
quantum parameter estimation, quantum Fisher information, adaptive measurement

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