Simulating fermion dynamics and topological matter with reconfigurable atom arrays

POSTER

Abstract

Quantum computers have the potential to fundamentally advance our ability to simulate strongly correlated many-body quantum systems. Fermionic models, in particular, are central to our understanding of quantum chemistry and materials science. However, such models are challenging to simulate with quantum computers, owing to the non-local nature of fermions. Here we report on the realization of digital quantum simulations of fermionic systems based on reconfigurable atom arrays. We use a fermion-to-qubit mapping based on Kitaev's model on a honeycomb lattice, in which fermionic statistics are encoded with long-range entangled states. We prepare these states efficiently using measurement and feedforward, and realize subsequent evolution through Floquet engineering with tunable entangling gates interspersed with atom rearrangement. Leveraging the fermion description of Kitaev's spin model, we efficiently prepare topological states across its complex phase diagram and verify the non-Abelian spin liquid phase by evaluating an odd Chern number. We further explore this two-dimensional fermion system by realizing tunable dynamics and directly probing fermion exchange statistics. Finally, we simulate strong interactions to study dynamics of the Fermi-Hubbard model on a square lattice. These results pave the way for digital quantum simulations of complex fermionic systems relevant for materials science, chemistry, and high-energy physics.

Publication: Evered, S.J. et al. "Probing topological matter and fermion dynamics on a neutral-atom quantum computer." Preprint at arxiv.org/abs/2501.18554 (2025).

Presenters

  • Simon J Evered

    Harvard University

Authors

  • Simon J Evered

    Harvard University

  • Marcin J Kalinowski

    Harvard University

  • Alexandra A Geim

    Harvard University

  • Tom Manovitz

    Harvard University

  • Dolev Bluvstein

    Harvard University

  • Sophie Helena Huiyuan Li

    Harvard University

  • Nishad Maskara

    Harvard University

  • Hengyun Zhou

    QuEra Computing Inc., Harvard University

  • Sepehr Ebadi

    Massachusetts Institute of Technology, Harvard University

  • Muqing Xu

    Harvard University

  • Joseph Campo

    QuEra Computing Inc., QuEra Computing

  • Madelyn Cain

    Harvard University

  • Stefan Ostermann

    Harvard University

  • Susanne F Yelin

    Harvard University

  • Subir Sachdev

    Harvard University

  • Markus Greiner

    Harvard University

  • Vladan Vuletic

    Massachusetts Institute of Technology

  • Mikhail D Lukin

    Harvard University