activity
20222025
most citedQuantum Fourier Iterative Amplitude Estimation

11 citations · 32 across the 8 of their papers we have counts for

collaborators

8 papers

quant-ph2025

Unlocking Multidimensional Integration with Quantum Adaptive Importance Sampling

Konstantinos Pyretzidis, Jorge J. Martínez de Lejarza, Germán Rodrigo

Multidimensional numerical integration is a central ingredient of theoretical predictions in high-energy physics, where multiloop Feynman diagrams and phase-space integrals are com…

quant-ph2025

Quantum Chebyshev Probabilistic Models for Fragmentation Functions

Jorge J. Martínez de Lejarza, Hsin-Yu Wu, Oleksandr Kyriienko +2

Quantum generative modeling is emerging as a powerful tool for advancing data analysis in high-energy physics, where complex multivariate distributions are common. However, efficie…

quant-ph2024★ 4 cited

Quantum integration of decay rates at second order in perturbation theory

Jorge J. Martínez de Lejarza, David F. Rentería-Estrada, Michele Grossi +1

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…

hep-ph2024★ 3 cited

Vacuum amplitudes and time-like causal unitary in the loop-tree duality

The LTD Collaboration, Selomit Ramírez-Uribe, Andrés E. Rentería-Olivo +8

We present the first proof-of-concept application to decay processes at higher perturbative orders of LTD causal unitary, a novel methodology that exploits the causal properties of…

hep-ph2024★ 9 cited

Loop Feynman integration on a quantum computer

Jorge J. Martínez de Lejarza, Leandro Cieri, Michele Grossi +2

This work investigates in detail the performance and advantages of a new quantum Monte Carlo integrator, dubbed Quantum Fourier Iterative Amplitude Estimation (QFIAE), to numerical…

quant-ph2023★ 11 cited

Quantum Fourier Iterative Amplitude Estimation

Jorge J. Martínez de Lejarza, Michele Grossi, Leandro Cieri +1

Monte Carlo integration is a widely used numerical method for approximating integrals, which is often computationally expensive. In recent years, quantum computing has shown promis…