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Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model
Simulating calorimeter showers is among the largest computational costs in high-energy physics, and quantum generative models have been proposed as alternatives to classical surrogates. Their progress is hindered by a resource problem. In existing gate-model proposals, the quantum register grows wit
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