To the practicing statisticians out there: Is BLUE at all relevant in the field? Even if you can formulate your data/problem as a linear regression, wouldn’t maximum likelihood estimation still be the preferred method in most scenarios? Edit: Of course Bayesian analysis is of equal relevance here!
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The achievement in question is the preparation of the neutral atoms, which realize qubits, on this grid. Controlling the placement of such a large number of individual atoms with just light is a somewhat recent breakthrough that is now maturing.
Addressing the atoms and letting them interact is an entirely different beast, but the prerequisite of placement is just as important.