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Asymptotic Approximate Fekete Arrays

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arxiv 2210.10682 v1 pith:G7T6JALV submitted 2022-10-19 math.CV

classification math.CV
keywords arraysfeketeasymptoticpointssettingworkalbeitallow
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abstract

The notion of asymptotic Fekete arrays, arrays of points in a compact set $K\subset {\bf C}^d$ which behave asymptotically like Fekete arrays, has been well-studied, albeit much more recently in dimensions $d>1$. Here we show that one can allow a more flexible definition where the points in the array need not lie in $K$. Our results, which work in the general setting of weighted pluripotential theory, rely heavily, in the multidimensional setting, on the ground-breaking work of Berman, Boucksom and Nystrom.

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  1. New Insights on Unfolding and Fine-tuning Quantum Federated Learning

    cs.LG 2025-06 reject novelty 5.0 of 10

    Deep unfolding with client-learned hyperparameters is claimed to improve quantum federated learning accuracy from roughly 55% to 90%, but the supporting proof and baseline data are not established.

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