Probing the Kitaev honeycomb model on a neutral-atom quantum computer
Quantum simulations of many-body systems are among the most promising applications of quantum computers<sup>1</sup>. In particular, models based on strongly correlated fermions are central to our understanding of quantum chemistry and materials problems<sup>2</sup>, and can lead to exotic, topological phases of matter<sup>3,4</sup>. However, owing to the non-local nature of fermions, such models are challenging to simulate with qubit devices<sup>5</sup>. Here we realize a digital quantum simulation architecture for two-dimensional fermionic systems based on reconfigurable atom arrays<sup>6</sup>. We utilize a fermion-to-qubit mapping based on Kitaev's model on a honeycomb lattice<sup>3</sup>, in which fermionic statistics are encoded using long-range entangled states<sup>7</sup>. We prepare these states efficiently using measurement<sup>8</sup> and feedforward<sup>9</sup>, realize subsequent fermionic evolution through Floquet engineering<sup>10,11</sup> with tunable entangling gates<sup>12</sup> interspersed with atom rearrangement, and improve results with built-in error detection. Leveraging this fermion description of the Kitaev spin model, we efficiently prepare topological states across its complex phase diagram<sup>13</sup> and verify the non-Abelian spin-liquid phase<sup>3</sup> by evaluating an odd Chern number<sup>14,15</sup>. We further explore this two-dimensional fermion system by realizing tunable dynamics and directly probing fermion exchange statistics. Finally, we simulate strong interactions and study the dynamics of the Fermi-Hubbard model on a square lattice. These results pave the way for digital quantum simulations of complex fermionic systems for materials science, chemistry<sup>16</sup> and high-energy physics<sup>17</sup>.
Authors
- Alexandra A. Geim (ORCID: https://orcid.org/0000-0001-5294-4941)
- Dolev Bluvstein (ORCID: https://orcid.org/0000-0002-9934-9530)
- M. W. Kalinowski (ORCID: https://orcid.org/0000-0003-0605-8791)
- Nishad Maskara (ORCID: https://orcid.org/0000-0001-5775-9542)
- Sepehr Ebadi (ORCID: https://orcid.org/0000-0003-4146-3637)
- Madelyn Cain (ORCID: https://orcid.org/0000-0002-5298-3112)
- Markus Greiner (ORCID: https://orcid.org/0000-0002-2935-2363)
- Muqing Xu (ORCID: https://orcid.org/0000-0003-2384-0208)
- Subir Sachdev (ORCID: https://orcid.org/0000-0002-2432-7070)
- Mikhail D. Lukin (ORCID: https://orcid.org/0000-0002-8658-1007)
- Tom Manovitz (ORCID: https://orcid.org/0000-0003-3470-1369)
- Simon J. Evered (ORCID: https://orcid.org/0000-0001-8986-1103)
- Stefan Ostermann (ORCID: https://orcid.org/0000-0002-9762-9010)
- Susanne F. Yelin (ORCID: https://orcid.org/0000-0003-1655-9151)
- Hengyun Zhou (ORCID: https://orcid.org/0000-0002-2148-8856)
- Sophie H. Li (ORCID: https://orcid.org/0000-0002-3099-9906)
- Vladan Vuletić (ORCID: https://orcid.org/0000-0002-9786-0538)
- Joseph Campo
Institutions
- Harvard University (US)
- Harvard University Press (US)
- QuEra Computing (United States) (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Nature
- Published
- 2025-09-10
- DOI
- https://doi.org/10.1038/s41586-025-09475-0
- Citations
- 13
- Primary Topic
- Advanced Condensed Matter Physics
- Type
- article
- Field-Weighted Citation Impact
- 16.36
Funders
- National Science Foundation
- U.S. Department of Energy
- Defense Advanced Research Projects Agency
- Intelligence Advanced Research Projects Activity
- National Defense Science and Engineering Graduate
- Center for Ultracold Atoms, Massachusetts Institute of Technology
- Division of Materials Research
- Army Research Office