Nested-GPT is an autoregressive Transformer surrogate that generates variable-multiplicity parton showers while enforcing ordered Markovian branching and matches reference Monte Carlo results for leading-log non-global logarithm resummation in the large-Nc limit.
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A modular two-qubit quantum circuit primitive is built to reproduce QCD gluon-splitting entanglement via concurrence, with parameters fitted to LHC data and validated on hardware for three-prong jets.
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Nested-GPT for variable-multiplicity parton showers: A case study in the resummation of non-global logarithms
Nested-GPT is an autoregressive Transformer surrogate that generates variable-multiplicity parton showers while enforcing ordered Markovian branching and matches reference Monte Carlo results for leading-log non-global logarithm resummation in the large-Nc limit.
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Physics inspired quantum algorithm for QCD splitting functions
A modular two-qubit quantum circuit primitive is built to reproduce QCD gluon-splitting entanglement via concurrence, with parameters fitted to LHC data and validated on hardware for three-prong jets.