Articles
D. Magano, A. Kumar, M. Kālis, A. Locāns, A. Glos, S. Pratapsi, G. Quinta, M. Dimitrijevs, A. Rivošs, P. Bargassa, J. Seixas, A. Ambainis, Y. Omar, Quantum speedup for track reconstruction in particle accelerators, Physical Review D 105, 076012 (2022). Get PDF
@article{d. magano 2022quantum,
title={Quantum speedup for track reconstruction in particle accelerators},
author={D. Magano and A. Kumar and M. Kālis and A. Locāns and A. Glos and S. Pratapsi and G. Quinta and M. Dimitrijevs and A. Rivošs and P. Bargassa and J. Seixas and A. Ambainis and Y. Omar},
journal={Physical Review D},
year={2022},
pages={105, 076012}
}
A. Delgado, K. E. Hamilton, P. Date, J. Vlimant, D. Magano, Y. Omar, P. Bargassa, A. Francis, A. Gianelle, L. Sestini, D. Lucchesi, D. Zuliani, D. Nicotra, J. Vries, D. Dibenedetto, M. L. Martinez, E. Rodrigues, C. V. Sierra, S. Vallecorsa, J. Thaler, C. Bravo-Prieto, S. Y. Chang, J. Lazar, C. A. Argüelles, Quantum Computing for Data Analysis in High-Energy Physics, arXiv:2203.08805 (2022). Get PDF
@article{a. delgado2022quantum,
title={Quantum Computing for Data Analysis in High-Energy Physics},
author={A. Delgado, K. E. Hamilton, P. Date, J. Vlimant, D. Magano, Y. Omar, P. Bargassa, A. Francis, A. Gianelle, L. Sestini, D. Lucchesi, D. Zuliani, D. Nicotra, J. Vries, D. Dibenedetto, M. L. Martinez, E. Rodrigues, C. V. Sierra, S. Vallecorsa, J. Thaler, C. Bravo-Prieto, S. Y. Chang, J. Lazar, C. A. Argüelles },
journal={arXiv},
year={2022},
pages={2203.08805 }
}
M. Rigobello, S. Notarnicola, G. Magnifico, S. Montangero, Entanglement generation in ( 1 + 1 ) D QED scattering processes, Phys. Rev. D 104, 114501 (2021). Get PDF
@article{m. rigobello 2021entanglement,
title={Entanglement generation in ( 1 + 1 ) D QED scattering processes},
author={M. Rigobello and S. Notarnicola and G. Magnifico and S. Montagero },
journal={Phys. Rev. D 104},
year={2021},
pages={114501 }
}
P. Bargassa, T. Cabos, A. C. O. Choi, T. Hessel, S. Cavinato, Quantum algorithm for the classification of supersymmetric top quark events, Phys. Rev. D 104, 096004 (2021). Get PDF
@article{p. bargassa 2021quantum,
title={Quantum algorithm for the classification of supersymmetric top quark events},
author={P. Bargassa and T. Cabos and A. C. O. Choi and T. Hessel and S. Cavinato },
journal={Phys. Rev. D 104},
year={2021},
pages={096004}
}
G. Magnifico, T. Felser, P. Silvi, S. Montangero, Lattice Quantum Electrodynamics in (3+1)-dimensions at finite density with Tensor Networks, Nature Communications 12, 3600 (2021). Get PDF
@article{g.2021lattice,
title={Lattice Quantum Electrodynamics in (3+1)-dimensions at finite density with Tensor Networks},
author={G., Magnifico and T., Felser and P., Silvi and S., Montagero },
journal={Nature Communications 12},
year={2021},
pages={3600}
}
D. Pires, Y. Omar, J. Seixas, Adiabatic Quantum Algorithm for Multijet Clustering in High Energy Physics, arXiv:2012.14514 (2020). Get PDF
@article{d. pires 2020adiabatic,
title={Adiabatic Quantum Algorithm for Multijet Clustering in High Energy Physics},
author={D. Pires and Y. Omar and J. Seixas},
journal={arXiv},
year={2020},
pages={2012.14514}
}
T. Felser, P. Silvi, M. Collura, S. Montangero, Two-dimensional quantum-link lattice Quantum Electrodynamics at finite density, Phys. Rev. X 10, 041040 (2020). Get PDF
@article{t.2020two,
title={Two-dimensional quantum-link lattice Quantum Electrodynamics at finite density},
author={T., Felser and P., Silvi and M., Collura and S., Montagero },
journal={Phys. Rev. X 10},
year={2020},
pages={041040}
}
S. Notarnicola, M. Collura, S. Montangero, Real-time-dynamics quantum simulation of (1+1)-dimensional lattice QED with Rydberg atoms, Phys. Rev. Research 2, 013288 (2020). Get PDF
@article{s.2020real,
title={Real-time-dynamics quantum simulation of (1+1)-dimensional lattice QED with Rydberg atoms},
author={S., Notarnicola and M., Collura and S., Montagero },
journal={Phys. Rev. Research 2},
year={2020},
pages={013288}
}
M. Trenti, L. Sestini, A. Gianelle, D. Zuliani, T. Felser, D. Lucchesi, S. Montangero, Quantum-inspired Machine Learning on high-energy physics data, arXiv:2004.13747 (2020). Get PDF
@article{m.2020quantum,
title={Quantum-inspired Machine Learning on high-energy physics data},
author={M., Trenti and L., Sestini and A., Gianelle and D., Zuliani and T., Felser and D., Lucchesi and S., Montagero },
journal={arXiv},
year={2020},
pages={2004.13747}
}
G. Magnifico, M. Dalmonte, P. Facchi, S. Pascazio, F.V. Pepe, E. Ercolessi, Real Time Dynamics and Confinement in the Zn Schwinger-Weyl lattice model for 1+1 QED, arXiv:1909.04821 (2019). Get PDF
@article{g.2019real,
title={Real Time Dynamics and Confinement in the Zn Schwinger-Weyl lattice model for 1+1 QED},
author={G., Magnifico and M., Dalmonte and P., Facchi and S., Pascazio and F.V., Pepe and E., Ercolessi},
journal={arXiv},
year={2019},
pages={1909.04821}
}
Theses
D. Pires, Quantum Algorithms for Jet Clustering in High-Energy Physics, master thesis, 20 January 2021