QFAN generates calorimeter shower images autoregressively with a fixed three-qubit variational circuit per block, reproducing per-pixel distributions, correlations, and total energy on simulators and IBM hardware.
The MC matrix reveals a block-diagonal structure with inter-block anti-correlations reflecting energy con- servation
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Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model
QFAN generates calorimeter shower images autoregressively with a fixed three-qubit variational circuit per block, reproducing per-pixel distributions, correlations, and total energy on simulators and IBM hardware.