Variational quantum simulation of the Fermi-Hubbard model
ORAL
Abstract
Noisy intermediate-scale quantum devices have the potential to be useful for quantum simulation of materials. A prominent approach for near-term quantum simulation is based on variational quantum algorithms (VQAs). In this talk, we propose a VQA to prepare the groundstate of the Fermi-Hubbard model. In particular, we investigate various state-preparation circuits and benchmark their performance in presence of realistic noise. We find that Hamiltonian-inspired variational forms perform better than a hardware-efficient approach. This work constitutes a first step towards the simulation of strongly correlated fermionic systems.
*This work was undertaken thanks in part to funding from NSERC, FRQNT and the Canada First Research Excellence Fund.
–
Presenters
Alexandre Choquette
Universite de Sherbrooke
Authors
Alexandre Choquette
Universite de Sherbrooke
Agustin Di Paolo
Institut quantique and Departement de Physique, Universite de Sherbrooke
Universite de Sherbrooke
Département de Physique, Université de Sherbrooke
Institut quantique & Département de Physique, Université de Sherbrooke
Institut Quantique and Departement de Physique, Universite de Sherbrooke, Sherbrooke, Canada
Institut quantique and Département de Physique, Universite de Sherbrooke
Panagiotis Barkoutsos
IBM Research - Zurich
IBM Research Zürich
David Senechal
Institut quantique and Departement de Physique, Universite de Sherbrooke
Université de Sherbrooke
Universite de Sherbrooke
Ivano Tavernelli
IBM Research - Zurich
IBM Research Zürich
Alexandre Blais
Universite de Sherbrooke
Institut quantique and Departement de Physique, Universite de Sherbrooke
Institut Quantique, Universite de Sherbrooke
Département de Physique, Université de Sherbrooke
Institut quantique & Département de Physique, Université de Sherbrooke
Institut Quantique and Departement de Physique, Universite de Sherbrooke, Sherbrooke, Canada
Institut quantique and Département de Physique, Universite de Sherbrooke