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Classification and characterization of quantum parametric models in quantum estimation theory

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arxiv 1807.06990 v1 pith:FKRXNTBE submitted 2018-07-18 quant-ph

classification quant-ph
keywords modelsclassicalquantummodelasymptoticallyboundcharacterizeclasses
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In this paper, we characterize quantum parametric models into different classes based on the estimation error bound, known as the Holevo bound. These classes are given by the classical, quasi-classical, D-invariant, and asymptotically classical models. We first explore the relationships among these four models and show that: i) The classical model having the diagonal elements only is characterized by the intersection of the D-invariant and asymptotically classical models. ii) There exists a gap between the classical model and the quasi-classical model, where all logarithmic derivative operators commute with each other. Further, we characterize each class with several equivalent conditions. This result then reveals the geometrical understanding of quantum statistical models.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. From the Hong-Ou-Mandel Effect to Quantum Sensing: Interference of Nonclassical Light with Partial Distinguishability and Noise

    quant-ph 2026-07 accept novelty 6.5 of 10

    New Fock-state suppression laws, a partial-distinguishability extension of Gaussian Boson Sampling via overlap matrices, and a proof that measurement incompatibility survives even when probe incompatibility vanishes f...

  2. Beating joint quantum estimation limits with stepwise multiparameter metrology

    quant-ph 2025-06 reject novelty 5.0 of 10

    Stepwise, one-parameter-at-a-time quantum estimation can beat the joint-estimation precision limit when the quantum Fisher information matrix is near singular.

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