Uniformly Stable Minimal Weyl--Heisenberg Measurements Approaching the SIC Benchmark
Xiuwu Zhu, Yu Wang
Abstract
Informational completeness (IC) guarantees that an inverse exists, not that it is statistically well conditioned. For minimal rank-one Weyl--Heisenberg (WH) measurements, covariance makes the nonidentity projector-Gram spectrum proportional to the fiducial's ambiguity intensities, with eigenvalues \(d|χϕ(u)|2\), turning stability into an explicit worst-direction design problem; write \(λ\) for its smallest nonidentity eigenvalue. Haar fiducials are IC almost surely while \( E[λ-1]=∞\), and an explicit geometric family used to establish balanced informationally complete measurements in every dimension has a normalized spectral floor bounded above by an exponentially decaying envelope. We then construct a hierarchy of minimal measurements. A cyclic family with exactly \(d2\) outcomes in every integer dimension has floors \(Θ(d-3)\) for odd \(d\) and \(Θ(d-5)\) for even \(d\); a finite-field family for \(q=2m\) obeys the uniform bound \(λ4/9\). Our main result treats every prime-power dimension of characteristic \(p5\). A balanced one-coordinate perturbation repairs the zero ambiguity axis of a cubic Alltop state, gives an attained floor uniformly bounded below by a positive constant, and confines the entire nonidentity spectrum to \([Lq,Uq]\) with \(Uq/Lq1\). Its SIC-normalized minimum tends to one, and \(λ(ϕq)/Λq1\) for the global finite-field WH max--min optimum \(Λq\), without assuming SIC existence. The complete spectrum determines the exact finite-sample Hilbert--Schmidt error of canonical linear inversion at \(I/d\), while its lower edge controls local Fisher efficiency and canonical-shadow bounds.
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