High-fidelity two-qubit quantum gates with neutral atoms

ORAL

Abstract

Neutral atom arrays have recently emerged as a leading quantum computing platform, enabling coherent control of hundreds of atoms in programmable two-dimensional arrays [1], as well as digital quantum computation in a dynamically reconfigurable architecture [2]. The platform’s scalability and all-to-all connectivity make it a unique approach for realizing novel quantum circuits and quantum error correction protocols. A key requirement for such applications is high-fidelity two-qubit operations. In particular, fidelities exceeding 99% are important for surpassing most current error correction thresholds. We report experimental realization of a new family of two-qubit quantum entangling gates, demonstrating fidelities of 99.5% while operating on tens of atoms in parallel. Our approach combines robust single-pulse Rydberg gate schemes inspired by Jandura and Pupillo [3], dark-state physics to suppress intermediate state scattering, and improvements to Rydberg excitation and atom cooling. We benchmark this two-qubit gate fidelity by multiple repeated gate applications, characterize the physical error sources, and identify a path toward higher fidelities. This advance, along with the ability to generate nonlocal connectivity through coherent atom transport and natural scalability to 1000s of atoms, lays the groundwork for large-scale control of error-corrected logical qubits. Finally, we provide an overview of ongoing experimental upgrades, including local control and mid-circuit feedback capabilities, and discuss the scientific frontiers opened by this work.

[1] Ebadi et al., Nature 595, 227-232 (2021).

[2] Bluvstein et al., Nature 604, 451-456 (2022).

[3] Jandura and Pupillo, Quantum 6, 712 (2022).

*U.S. Department of Energy and DOE Quantum Systems Accelerator Center, DARPA ONISQ program, Center for Ultracold Atoms, National Science Foundation, ARO MURI, Fannie and John Hertz Foundation, NDSEG, DOE CSGF, and ARO.

Presenters

  • Simon Evered

    • Harvard University

Authors

  • Simon Evered

    • Harvard University
  • Dolev Bluvstein

    • Harvard University
  • Marcin Kalinowski

    • Harvard University
  • Sepehr Ebadi

    • Harvard University
  • Tom Manovitz

    • Harvard University
  • Hengyun Zhou

    • Harvard University
  • Sophie Li

    • Harvard University
  • Alexandra A Geim

    • Harvard University
  • Tout T Wang

    • Harvard University
  • Giulia Semeghini

    • Harvard University
  • Markus Greiner

    • Harvard University
  • Vladan Vuletic

    • Massachusetts Institute of Technology MIT
    • Massachusetts Institute of Technology
  • Mikhail D Lukin

    • Harvard University