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William Maxwell

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Preprint Jul 2026

Spectral Born machines: classically trainable quantum generative models for discrete data

This work presents spectral Born machines, a class of quantum generative models that results from viewing and generalizing the class of IQP Born machines through the lens of group Fourier analysis, and suggests that highly over-parameterized spectral Born machines may be immune to overfitting, even in strongly data-scarce regimes.

Austin L. Huang, William Maxwell, Vasilis Belis et al. · 3 citations