Jefferson Lab > CIO > IR
Privacy and Security Notice


Publication Information

Title Exploring thermal equilibria of the Fermi–Hubbard model with variational quantum algorithms
Authors Jack Araz, Michael Spannowsky, Matthew Wingate
JLAB number JLAB-THY-23-3968
LANL number (None)
Other number DOE/OR/23177-7293
Document Type(s) (Journal Article) 
Associated with EIC: No
Supported by Jefferson Lab LDRD Funding: No
Funding Source: Nuclear Physics (NP)

Compiled for arXiv
Publication Abstract: This study investigates the thermal properties of the repulsive Fermi-Hubbard model with chemical potential using variational quantum algorithms, crucial in comprehending particle behaviour within lattices at heightened temperatures in condensed matter systems. Conventional computational methods encounter challenges, especially in managing chemical potential, prompting exploration into Hamiltonian approaches. Despite the promise of quantum algorithms, their efficacy is hampered by coherence limitations when simulating extended imaginary time evolution sequences. To overcome these constraints, this research focuses on optimizing variational quantum algorithms to probe the thermal properties of the Fermi-Hubbard model. Physics-inspired circuit designs are tailored to alleviate coherence constraints, facilitating a more comprehensive exploration of materials at elevated temperatures. Our study demonstrates the potential of variational algorithms in simulating the thermal properties of the Fermi-Hubbard model while acknowledging limitations stemming from error sources in quantum devices and encountering barren plateaus.
Experiment Numbers: other
Document: pdf
Accepted Manuscript:
Supporting Documents:
Supporting Datasets: