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Sub-Ensemble Correlations as a Covariance Geometry

Atomic Physics 2026-01-01 v1 Quantum Physics

Abstract

Conventional practice of spatially resolved detection in diffusion-coupled thermal atomic vapors implicitly treat localized responses as mutually independent. However, in this study, it is shown that observable correlations are governed by the intrinsic spatiotemporal covariance of a global spin-fluctuation field, such that spatial separation specifies only overlapping statistical projections rather than independent physical components. A unified field-theoretic description is established in which sub-ensembles are defined as measurement-induced statistical projections of a single stochastic field. Within this formulation, sub-ensemble correlations are determined by the covariance operator, inducing a natural geometry in which statistical independence corresponds to orthogonality of the measurement functionals. For collective spin fluctuations described by a diffusion-relaxation Ornstein-Uhlenbeck stochastic field, the covariance spectrum admits only a finite set of fluctuation modes in a bounded domain, imposing an intrinsic, field-level limit on the number of statistically distinguishable sub-ensembles. The loss of sub-ensemble independence is formalized through the notion of spatial sampling overlap, which quantifies the unavoidable statistical coupling arising from shared access to common low-order fluctuation modes. While multi-channel atomic magnetometry provides a concrete physical setting in which these constraints become explicit, the framework applies generically to diffusion-coupled stochastic fields.

Keywords

Cite

@article{arxiv.2512.24451,
  title  = {Sub-Ensemble Correlations as a Covariance Geometry},
  author = {Zuoxian Wang and Yuhao Zhang and Gaopu Hou and Zihua Liang and Gen Hu and Lu Liu and Yuan Sun and Feilong Xu and Mao Ye},
  journal= {arXiv preprint arXiv:2512.24451},
  year   = {2026}
}

Comments

Submitted to Quantum Science and Technology. This version corresponds to the submitted manuscript

R2 v1 2026-07-01T08:46:10.848Z