F. Dell’Anna, S. Pradhan, C. Degli Esposti Boschi, E. Ercolessi, Quantum Fisher information and multipartite entanglement in spin-1 chains, Phys. Rev. B 108, 144414 (2023). Get…
S. Tibaldi, D. Vodola, E. Tignone, E. Ercolessi, Bayesian Optmization for QAOA, IEEE Transactions on Quantum Engineering 4, 3102611 (2023). Get PDF
G. Cataldi, G. Magnifico, P. Silvi, S. Montangero, (2+1)D SU(2) Yang-Mills Lattice Gauge Theory at finite density via tensor networks, arXiv:2307.09396 (2023). Get PDF
A. D. Meglio, K. Jansen, I. Tavernelli, C. Alexandrou, S. Arunachalam, C. W. Bauer, K. Borras, S. Carrazza, A. Crippa, V. Croft, R. Putter, A. Delgado, V. Dunjko, D. J. Egger, E. Fernandez-Combarro, E. Fuchs, L. Funcke, D. Gonzalez-Cuadra, M.Grossi, J. C. Halimeh, Z.Holmes, S. Kuhn, D.…
A. Mariani, S. Pradhan, E. Ercolessi, Hamiltonians and gauge-invariant Hilbert space for lattice Yang-Mills-like theories with finite gauge group, Physical Review D 107, 114513 (2023). Get…
D. Pires, Y. Omar, J. Seixas, Adiabatic Quantum Algorithm for Multijet Clustering in High Energy Physics, Physics Letters B 843, 138000 (2023). Get PDF
M. Turco, G. M. Quinta, J. Seixas, Y. Omar, Towards Quantum Simulation of Bound States Scattering, arXiv:2305.07692 (2023). Get PDF
D. Lonigro, R. Maggi, G. Angelone, E. Ercolessi, P. Facchi, G. Marmo, S. Pascazio, F. V. Pepe, Dimensional reduction of the Dirac equation in arbitrary…
G. Angelone, E. Ercolessi, P. Facchi, D. Lonigro, R. Maggi, G. Marmo, S. Pascazio, F. V. Pepe, Dimensional reduction of the Dirac theory, J. Phys. A56,…
S. Tibaldi, G. Magnifico, D. Vodola, E. Ercolessi, Unsupervised and supervised learning of interacting topological phases from single-particle correlation functions, SciPost Phys. 14, 005 (2023). Get…
C. Sanavio, E. Tignone, E. Ercolessi, Entanglement Classification via Witness Operators generated by Support Vector Machine, arXiv:2301.06759 (2023). Get PDF
S.Tibaldi, D. Vodola, E. Tignone, E. Ercolessi, Bayesian Optimization for QAOA, arXiv:2209.03824 (2022). Get PDF
S. Pradhan, A. Maroncelli, E. Ercolessi, Discrete Abelian lattice gauge theories on a ladder and their dualities with quantum clock models, arXiv:2208.04182 (2022). Get PDF
D. Magano, L. Buffoni, Y. Omar, Quantum density peak clustering , arXiv:2207.10559 (2022). Get PDF
G. M. Quinta, A. Sousa, Y. Omar, Predicting leptonic CP violation via minimization of neutrino entanglement, arXiv:2207.03303 (2022). Get PDF
L. Lumia, P. Torta, G. B. Mbeng, G. E. Santoro, E. Ercolessi, M. Burrello, M. M. Wauters, Two-dimensional Z2 lattice gauge theory on a near-term quantum simulator:…
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.…
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,…
R. Maggi, E. Ercolessi, P. Facchi, G. Marmo, S. Pascazio, F. V. Pepe, Dimensional reduction of electromagnetism, Jour. Math. Physics 63, 22902 (2022). Get PDF
S. Montangero, E. Rico, P. Silvi, Loop-free tensor networks for high-energy physics, Phil. Trans. R. Soc. A. 380, 20210065 (2021). Get PDF
M. Rigobello, S. Notarnicola, G. Magnifico, S. Montangero, Entanglement generation in ( 1 + 1 ) D QED scattering processes, Phys. Rev. D 104, 114501 (2021). Get…
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…
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
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
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
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
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,…