July 30, 2026 to August 5, 2026
Natal Convention Center
America/Sao_Paulo timezone

Quantum Fourier Integration of Decay Rates at NLO Accuracy

Jul 31, 2026, 3:45 PM
15m
Room #1 (Praiamar Natal Hotel & Convention)

Room #1

Praiamar Natal Hotel & Convention

R. Francisco Gurgel, 33 - Ponta Negra, Natal - RN, 59090-050
Talk Artificial Intelligence, Machine Learning and Quantum Computing in HEP Artificial Intelligence, Machine Learning and Quantum Computing in HEP

Speaker

DAVID FRANCISCO RENTERIA ESTRADA (IFIC UV-CSIC)

Description

We present the first quantum computation of a total decay rate in high-energy physics at second order in perturbative quantum field theory. This work underscores the confluence of two recent cutting-edge advances. On the one hand, the quantum integration algorithm quantum Fourier iterative amplitude estimation, which efficiently decomposes the target function into its Fourier series through a quantum neural network before quantumly integrating the corresponding Fourier components. On the other hand, causal unitary in the loop-tree duality (LTD), which exploits the causal properties of vacuum amplitudes in LTD to coherently generate all contributions with different numbers of final-state particles to a scattering or decay process, leading to singularity-free integrands that are well suited for Fourier decomposition. We test the performance of the quantum algorithm with benchmark decay rates in a quantum simulator and in quantum hardware, and find accurate theoretical predictions in both settings

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