Presents CaloTrilogy, a unified one-step generative model for high-granularity calorimeter showers that combines velocity field integration, learned priors, and physics losses to match SOTA quality.
AllShowers: One model for all calorimeter showers,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
An IQP Born machine with Mixture-of-IQP architecture and Pearson-Stabilized Correlation Kernel is trained on calorimeter images at 64 qubits and compiled to a single IQP circuit, reporting MAE_rho of 0.069 versus baseline 0.100.
citing papers explorer
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CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters
Presents CaloTrilogy, a unified one-step generative model for high-granularity calorimeter showers that combines velocity field integration, learned priors, and physics losses to match SOTA quality.
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An IQP Born Machine for Calorimeter Image Generation at 64 Qubits with Compiled-IQP Deployment
An IQP Born machine with Mixture-of-IQP architecture and Pearson-Stabilized Correlation Kernel is trained on calorimeter images at 64 qubits and compiled to a single IQP circuit, reporting MAE_rho of 0.069 versus baseline 0.100.