Nyström approximation of MMD enables scalable two-sample testing with permutation p-values and a finite-sample power bound matching the minimax optimal separation rate.
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simula- tion
4 Pith papers cite this work. Polarity classification is still indexing.
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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.
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.
Compares ensemble, Bayesian, and evidential regression approaches for uncertainty quantification in amplitude surrogates and shows they detect localized training data issues.
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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.