Publications
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 | arXiv:2312.09292 |
| 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) |
|
Journal Compiled for Physical Review A Volume 109 Page(s) 062422 | |
| 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 |
| Group: | THEORY CENTER |
| Document: | |
| DOI: | https://doi.org/10.1103/PhysRevA.109.062422 |
| Accepted Manuscript: | 2312.09292v2.pdf |
| Supporting Documents: | |
| Supporting Datasets: | |