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20002025
most citedQuantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group

211 citations · 293 across the 12 of their papers we have counts for

collaborators

12 papers

quant-ph2025

Creation of Wave Packets for Quantum Chromodynamics on Quantum Computers

Matteo Turco, Gonçalo M. Quinta, João Seixas +1

One of the most ambitious goals of quantum simulation of quantum field theory is the description of scattering in real time, which would allow not only for computation of scatterin…

quant-ph2023★ 211 cited

Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group

Alberto Di Meglio, Karl Jansen, Ivano Tavernelli +43

Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage…

quant-ph2023★ 10 cited

Quantum Simulation of Bound State Scattering

Matteo Turco, Gonçalo M. Quinta, João Seixas +1

The last few years have seen rapid development of applications of quantum computation to quantum field theory. The first algorithms for quantum simulation of scattering have been p…

physics.data-an2021★ 11 cited

A Digital Quantum Algorithm for Jet Clustering in High-Energy Physics

Diogo Pires, Pedrame Bargassa, João Seixas +1

Experimental High-Energy Physics (HEP), especially the Large Hadron Collider (LHC) programme at the European Organization for Nuclear Research (CERN), is one of the most computatio…

hep-ex2020★ 18 cited

Adiabatic Quantum Algorithm for Multijet Clustering in High Energy Physics

Diogo Pires, Yasser Omar, João Seixas

The currently predicted increase in computational demand for the upcoming High-Luminosity Large Hadron Collider (HL-LHC) event reconstruction, and in particular jet clustering, is…

cs.ET2018★ 33 cited

Perceptrons from Memristors

Francisco Silva, Mikel Sanz, João Seixas +2

Memristors, resistors with memory whose outputs depend on the history of their inputs, have been used with success in neuromorphic architectures, particularly as synapses and non-v…