Statistical strength of CGLMP measurements
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Problem
For every \(d\geq3\), do the standard CGLMP Fourier–phase measurements maximize the relative-entropy statistical strength against local realism among all projective \(d\)-outcome measurements on the fixed state \(\lvert\Phi_d\rangle=d^{-1/2}\sum_{j=0}^{d-1}\lvert j,j\rangle\), when the setting distribution is also optimized? For a behavior \(p(a,b\mid x,y)\), a distribution \(\mu(x,y)\) on the four setting pairs, and the local polytope \(\mathcal L\), define
Set \(S^\star(p):=\sup_{\mu\in\Delta(\{0,1\}^2)}S(p;\mu)\); by Eq. (1), this is the optimized asymptotic evidence rate against the best local model. The candidate bases are
where \(\alpha_0=0\), \(\alpha_1=-1/2\), \(\beta_0=1/4\), and \(\beta_1=3/4\). Let \(p_{\mathrm{CGLMP}}\) denote the behavior produced on \(\lvert\Phi_d\rangle\) by the bases in Eq. (2), and write \(p_M\) for the behavior produced by any other measurement choice \(M\) on \(\lvert\Phi_d\rangle\). The conjectured optimality of Eq. (2) is
where the supremum is over two projective \(d\)-outcome measurements per party. Equation (3) is the question to be resolved.
Source
Gill explicitly proposes the global statistical-strength optimality of the CGLMP measurement construction for a fixed maximally entangled state [Gil07].
Progress
Van Dam, Gill, and Grünwald established the operational interpretation of Eq. (1) as the asymptotic evidence rate of a Bell experiment and formulated the joint optimization problem [DGG05].
Acín, Gill, and Gisin numerically found the CGLMP measurement bases for their relative-entropy searches at \(d=3\) and \(d=4\). Their globally best state was not maximally entangled, so this does not resolve the fixed-state equality in Eq. (3) [AGG05].
Gill reports that numerical searches with the maximally entangled state fixed found only the CGLMP measurements for both Euclidean and relative-entropy criteria, but treats optimality as conjectural; the search does not prove Eq. (3) for arbitrary \(d\) [Gil07].
Comment
The remaining gap is a global proof or counterexample to Eq. (3) for arbitrary \(d\). The shared state is fixed; this differs from joint state–measurement optimization and from maximizing the linear CGLMP violation in Problem 24.