Menu Close

Welcome to the QuantHEP project website

QuantHEP – Quantum Computing Solutions for High-Energy Physics is a research project whose key goal is to develop quantum algorithms as a solution to the increasingly challenging, and soon intractable, problem of analysing and simulating events from large particle-physics experiments.

Project QuantHEP bring together researchers from the Physics of Information and Quantum Technologies Group at Instituto de Telecomunicações in Portugal, from the National Institute for Nuclear Physics in Italy, and from the Quantum Computing Group of the University of Latvia.

QuantHEP is funded through QuantERA, the European cofund programme in Quantum Technologies.

News

Slider

QuantHEP Seminar, Martin Savage

Martin Savage 2

1 December 2021, online

Fifth QuantHEP Workshop​

IMAGEM NEWS

7 December 2021, online

P. Bargassa, T. Cabos, A. C. O. Choi, T. Hessel, S. CavinatoQuantum algorithm for the classification of supersymmetric top quark events, Phys. Rev. D 104, 096004 (2021). Get PDF

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 BibTeX
@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. MontangeroLattice Quantum Electrodynamics in (3+1)-dimensions at finite density with Tensor Networks, Nature Communications 12, 3600 (2021). Get PDF

Magnifico G., Felser T., Silvi P., Montagero S.. Lattice Quantum Electrodynamics in (3+1)-dimensions at finite density with Tensor Networks. Nature Communications 12: 3600, 2021.
Get BibTeX
@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}
}