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Paper · arXiv

Representational separation between unitary and channel quantum generative models via shared classical randomness at shallow depth

Near-term quantum hardware limits circuit depth and often imposes geometrically local connectivity for quantum generative models, restricting the output distributions accessible to shallow unitary Born models. Introducing stochasticity into a unitary quantum Born model can improve the empirical generative performance of the resulting channel model and, for a restricted small-scale architecture, has been proven to represent a strictly larger family of distributions than its unitary counterpart. However, whether such randomness provides a provable separation at fixed shallow depth for arbitrarily large systems has remained open. Here, we show that shared classical randomness, a comparativel...

AuthorsArunava Majumder, Marius Krumm, Hendrik Poulsen Nautrup et al.
Primary categoryquant-ph
Published5 August 2026
Last updated at source5 August 2026
quant-phcs.AIcs.LGstat.ML
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