A geometric criterion for optimal measurements in multiparameter quantum metrology
- URL: http://arxiv.org/abs/2601.21801v1
- Date: Thu, 29 Jan 2026 14:44:07 GMT
- Title: A geometric criterion for optimal measurements in multiparameter quantum metrology
- Authors: Jing Yang, Satoya Imai, Luca Pezzè,
- Abstract summary: We establish an equivalence between QCRB saturation and the simultaneous hollowization of a set of traceless operators associated with the estimation model.<n>We then identify conditions under which the partial commutativity condition proposed in [Phys. Rev. A 100, 032104( 2019)] becomes necessary and sufficient for the saturation of the QCRB.
- Score: 3.2237900102017503
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Determining when the multiparameter quantum Cramér--Rao bound (QCRB) is saturable with experimentally relevant single-copy measurements is a central open problem in quantum metrology. Here we establish an equivalence between QCRB saturation and the simultaneous hollowization of a set of traceless operators associated with the estimation model, i.e., the existence of complete (generally nonorthogonal) bases in which all corresponding diagonal matrix elements vanish. This formulation yields a geometric characterization: optimal rank-one measurement vectors are confined to a subspace orthogonal to a state-determined Hermitian span. This provides a direct criterion to construct optimal Positive Operator-Valued Measures(POVMs). We then identify conditions under which the partial commutativity condition proposed in [Phys. Rev. A 100, 032104(2019)] becomes necessary and sufficient for the saturation of the QCRB, demonstrate that this condition is not always sufficient, and prove the counter-intuitive uselessness of informationally-complete POVMs.
Related papers
- Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds [57.179679246370114]
We construct metrics that are geodesically complete while ensuring that every stationary point under the new metric remains stationary under the original one.<n>An $$-stationary point under the constructed metric $g'$ also corresponds to an $$-stationary point under the original metric $g'$.<n>Experiments on a practical mesh optimization task demonstrate that our framework maintains stable convergence even in the absence of geodesic completeness.
arXiv Detail & Related papers (2026-01-12T22:08:03Z) - Provable Non-Convex Euclidean Distance Matrix Completion: Geometry, Reconstruction, and Robustness [8.113729514518495]
The Euclidean Distance Matrix Completion problem arises in a broad range of applications, including sensor network localization, molecular robustness, and manifold learning.<n>In this paper, we propose a low-rank matrix completion task over the space of positive semi-definite Gram matrices.<n>The available distance measurements are encoded as expansion coefficients in a non-orthogonal basis, and optimization over the Gram matrix implicitly enforces geometric consistency through nonnegativity and the triangle inequality.
arXiv Detail & Related papers (2025-07-31T18:40:42Z) - Euclidean Distance Matrix Completion via Asymmetric Projected Gradient Descent [25.846262685970164]
This paper proposes and analyzes a gradient-type algorithm based on Burer-Monteiro factorization.<n>It reconstructs the point set configuration from partial Euclidean distance measurements.
arXiv Detail & Related papers (2025-04-28T07:13:23Z) - Predicting symmetries of quantum dynamics with optimal samples [41.42817348756889]
Identifying symmetries in quantum dynamics is a crucial challenge with profound implications for quantum technologies.<n>We introduce a unified framework combining group representation theory and subgroup hypothesis testing to predict these symmetries with optimal efficiency.<n>We prove that parallel strategies achieve the same performance as adaptive or indefinite-causal-order protocols.
arXiv Detail & Related papers (2025-02-03T15:57:50Z) - Solving the homogeneous Bethe-Salpeter equation with a quantum annealer [34.173566188833156]
The homogeneous Bethe-Salpeter equation (hBSE) was solved for the first time by using a D-Wave quantum annealer.
A broad numerical analysis of the proposed algorithms was carried out using both the proprietary simulated-anneaing package and the D-Wave Advantage 4.1 system.
arXiv Detail & Related papers (2024-06-26T18:12:53Z) - Saturation of the Multiparameter Quantum Cramér-Rao Bound at the Single-Copy Level with Projective Measurements [0.0]
It was not known when the quantum Cram'er-Rao bound can be saturated (achieved) when only a single copy of the quantum state is available.<n>In this paper, key structural properties of optimal measurements that saturate the quantum Cram'er-Rao bound are illuminated.
arXiv Detail & Related papers (2024-05-02T17:04:13Z) - Dimension matters: precision and incompatibility in multi-parameter
quantum estimation models [44.99833362998488]
We study the role of probe dimension in determining the bounds of precision in quantum estimation problems.
We also critically examine the performance of the so-called incompatibility (AI) in characterizing the difference between the Holevo-Cram'er-Rao bound and the Symmetric Logarithmic Derivative (SLD) one.
arXiv Detail & Related papers (2024-03-11T18:59:56Z) - Saturability of the Quantum Cramér-Rao Bound in Multiparameter Quantum Estimation at the Single-Copy Level [0.0]
The quantum Cram'er-Rao bound (QCRB) is the ultimate lower bound for precision in quantum parameter estimation.
This paper establishes necessary and sufficient conditions for saturability of the QCRB in the single-copy setting.
arXiv Detail & Related papers (2024-02-18T12:30:04Z) - Targeted Separation and Convergence with Kernel Discrepancies [61.973643031360254]
kernel-based discrepancy measures are required to (i) separate a target P from other probability measures or (ii) control weak convergence to P.<n>In this article we derive new sufficient and necessary conditions to ensure (i) and (ii)<n>For MMDs on separable metric spaces, we characterize those kernels that separate Bochner embeddable measures and introduce simple conditions for separating all measures with unbounded kernels.
arXiv Detail & Related papers (2022-09-26T16:41:16Z) - Incompatibility measures in multi-parameter quantum estimation under
hierarchical quantum measurements [4.980960723762946]
We show an approach to study the incompatibility under general $p$-local measurements.
We demonstrate the power of the approach by presenting a hierarchy of analytical bounds on the tradeoff.
arXiv Detail & Related papers (2021-09-13T09:33:47Z) - Spectral clustering under degree heterogeneity: a case for the random
walk Laplacian [83.79286663107845]
This paper shows that graph spectral embedding using the random walk Laplacian produces vector representations which are completely corrected for node degree.
In the special case of a degree-corrected block model, the embedding concentrates about K distinct points, representing communities.
arXiv Detail & Related papers (2021-05-03T16:36:27Z) - Generalized Sliced Distances for Probability Distributions [47.543990188697734]
We introduce a broad family of probability metrics, coined as Generalized Sliced Probability Metrics (GSPMs)
GSPMs are rooted in the generalized Radon transform and come with a unique geometric interpretation.
We consider GSPM-based gradient flows for generative modeling applications and show that under mild assumptions, the gradient flow converges to the global optimum.
arXiv Detail & Related papers (2020-02-28T04:18:00Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.