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News/Leveraging Quantum Measurement Randomness for Shot-Efficient Diffusion Models
arxiv
PublishedNovember 2, 2026 at 5:00 AM

Leveraging Quantum Measurement Randomness for Shot-Efficient Diffusion Models

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arXiv:2610.41721v1 Announce Type: cross Abstract: In quantum computing, the readout always carries finite-shot sampling noise. Suppressing this noise through repeated measurements raises the cost of a quantum neural network (QNN). Meanwhile, a stochastic diffusion sampler deliberately adds randomnes

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